{"id":"W3124112121","doi":"10.2196/18385","title":"Improving Efficiency of Clinical Studies Using a Total Digital Approach: Prospective Observational Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Karolinska Institutet","keywords":"Palpitations; Informed consent; Observational study; Inclusion (mineral); Medicine; Mobile device; Telemedicine; Medical emergency; Computer science; Medical physics; Family medicine; Psychology; Alternative medicine; World Wide Web; Internal medicine; Social psychology; Health care","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03504857,0.0003934162,0.001274893,0.002948557,0.0008857909,0.002564314,0.0007554438,0.001097567,0.002171178],"category_scores_gemma":[0.09219995,0.0005769864,0.001314244,0.004178804,0.0009935418,0.002829033,0.001632805,0.0009083945,0.0005701969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007208851,"about_ca_system_score_gemma":0.001709071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006075899,"about_ca_topic_score_gemma":0.0006204188,"domain_scores_codex":[0.9239149,0.05005366,0.01520356,0.003420505,0.006443601,0.0009638593],"domain_scores_gemma":[0.8410856,0.06499805,0.07096937,0.01101355,0.008144123,0.003789338],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002337566,0.001541146,0.9660497,0.001285045,0.0009106228,0.0001355622,0.001373006,0.0001409839,0.0003731764,0.0001329972,0.0006381841,0.02508193],"study_design_scores_gemma":[0.0007516192,0.005331789,0.984772,0.0007899888,0.0009456392,0.0005812152,0.001586841,0.001086743,0.0003621081,0.0002388938,0.003477597,0.00007563523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826781,0.007174364,0.004225841,0.0005664129,0.00005145259,0.00220955,0.0008629318,0.00003688066,0.002194512],"genre_scores_gemma":[0.9926813,0.001464188,0.003603414,0.0003594535,0.0000839057,0.001283435,0.0003614796,0.00001361456,0.0001492518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9649515,"threshold_uncertainty_score":0.1853568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8514699181391532,"score_gpt":0.70052024741499,"score_spread":0.1509496707241632,"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."}}