{"id":"W4240379551","doi":"10.3410/f.717992218.793473585","title":"Faculty Opinions recommendation of Complexity and diversity.","year":2013,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Problem and Project Based Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Diversity (politics); Data science; Computer science; Information retrieval; Political science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.002414474,0.002277301,0.001383449,0.007237367,0.0009534332,0.003502397,0.002908163,0.002460203,0.05266893],"category_scores_gemma":[0.01784295,0.0005917817,0.001352306,0.01074319,0.000443322,0.001804581,0.002369341,0.002052108,0.06932315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002090198,"about_ca_system_score_gemma":0.005285356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03774876,"about_ca_topic_score_gemma":0.1058797,"domain_scores_codex":[0.9971352,0.0004846168,0.0003746915,0.0006238355,0.001009611,0.0003720486],"domain_scores_gemma":[0.9913742,0.001999277,0.0009549524,0.001683256,0.002880021,0.001108245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004007468,0.00002071844,0.001268309,0.0002854828,0.00001968282,0.000008023745,0.00001544314,0.0001171803,0.00006043449,0.0002750183,0.9949341,0.002955505],"study_design_scores_gemma":[0.0001920799,0.00001604735,0.006913121,0.0002512681,0.00003786127,0.00003664074,0.00009266283,0.001104697,0.0003767708,0.001066308,0.9898852,0.00002742527],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002925292,0.00008183433,0.000106845,0.0001724253,0.00004739664,0.00002385013,0.9974205,0.0003037952,0.001550781],"genre_scores_gemma":[0.0007685712,0.00007088551,0.0004706707,0.00006845371,0.00001903309,0.00006528791,0.9968101,0.00005856133,0.001668326],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05266893,"threshold_uncertainty_score":0.1761951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08013519904848984,"score_gpt":0.3832974898806565,"score_spread":0.3031622908321666,"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."}}