{"id":"W2888845521","doi":"10.2196/11369","title":"A bibliometric analysis of the research hotspots in the applications of internet searches in breast cancer patients (Preprint)","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Preprint; Breast cancer; The Internet; Data science; Geography; Medicine; Cancer; Computer science; World Wide Web; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":{"n_in":3,"stratum":"venue_new","weight":2684.24666666667,"opus":{"tier":"T2","genre":"empirical","about_ca":false,"confidence":"medium","reason":"Bibliometric analysis of research hotspots in a literature on internet searches in breast cancer; the method is bibliometric and the object is a body of research output, matching the borderline bibliometric case."},"gpt":{"tier":"T2","genre":"empirical","about_ca":false,"confidence":"medium","reason":"The bibliometric analysis studies a research literature and its hotspots, making research output the object rather than merely using bibliometrics."},"grok":{"tier":"T2","genre":"empirical","about_ca":false,"confidence":"medium","reason":"Bibliometric mapping of research hotspots on internet-search applications in breast cancer; studies a research literature, borderline T2."}},"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003546094,0.0004515376,0.001012917,0.08972191,0.001158423,0.003488292,0.0006460216,0.0007492611,0.006820653],"category_scores_gemma":[0.0413898,0.0002043687,0.00156425,0.123182,0.0005962416,0.002463923,0.001700607,0.0005369851,0.001354874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019592,"about_ca_system_score_gemma":0.002175873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004775215,"about_ca_topic_score_gemma":0.007421639,"domain_scores_codex":[0.9929473,0.001429643,0.001745974,0.0007364818,0.002687046,0.0004534376],"domain_scores_gemma":[0.9215498,0.0511937,0.01385613,0.001769477,0.010029,0.001601945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007509534,0.0002409147,0.8343403,0.006043347,0.002078785,0.0003878764,0.003025964,0.001157241,0.003915935,0.002977411,0.01971097,0.1253702],"study_design_scores_gemma":[0.00003756926,0.0001852844,0.9666992,0.0005265537,0.0009464467,0.001032189,0.004526647,0.002527725,0.001362198,0.001584733,0.02051152,0.00005999498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8750383,0.01174475,0.001835277,0.002279578,0.0001816144,0.0002365241,0.09361193,0.0004657348,0.01460634],"genre_scores_gemma":[0.9636559,0.004633128,0.003336652,0.0001614812,0.0003888176,0.0002372254,0.02495479,0.00008058082,0.002551417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9102781,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1952335806944444,"score_gpt":0.52589042951797,"score_spread":0.3306568488235257,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}