{"id":"W4240264479","doi":"10.13021/g87k5j","title":"Impact Factors","year":2016,"lang":"en","type":"article","venue":"Open Scholarship Initiative Proceedings","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Readability; Openness to experience; Visibility; Quality (philosophy); Key (lock); Scholarship; Publishing; Public relations; Tracking (education); Political science; Marketing; Business; Computer science; Sociology; Psychology; Social psychology; Law; Computer security; Epistemology; Pedagogy; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.02245399,0.001299744,0.001649333,0.01907241,0.001701682,0.005463828,0.00146685,0.001357903,0.09195907],"category_scores_gemma":[0.1224436,0.0003319634,0.00315879,0.02281155,0.001511296,0.004143689,0.002834711,0.002042083,0.02531385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003780957,"about_ca_system_score_gemma":0.006075503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004780743,"about_ca_topic_score_gemma":0.006275773,"domain_scores_codex":[0.9584012,0.007389215,0.005195557,0.00219242,0.02498648,0.001835147],"domain_scores_gemma":[0.8895916,0.04844557,0.0112766,0.006276608,0.03865514,0.005754446],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001284494,0.001005054,0.2176472,0.005407214,0.001075437,0.0002578244,0.004061954,0.002032622,0.001350354,0.04945969,0.210991,0.5054271],"study_design_scores_gemma":[0.0001209936,0.0009313953,0.2381987,0.001830347,0.0005627407,0.000633481,0.003998349,0.0009837424,0.001055613,0.02213319,0.7293142,0.0002371262],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.1165858,0.009718764,0.0293803,0.008495917,0.002734035,0.007647579,0.1154077,0.00191921,0.7081106],"genre_scores_gemma":[0.7533692,0.006831672,0.05224505,0.003152333,0.001517933,0.006923292,0.05438869,0.0009871416,0.1205846],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9809276,"threshold_uncertainty_score":0.3076338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8111945142120909,"score_gpt":0.6407476752294909,"score_spread":0.1704468389825999,"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."}}