{"id":"W4416597446","doi":"10.5256/f1000research.13383.d192165","title":"Raw data underlying the results in Figure 11","year":2018,"lang":"en","type":"dataset","venue":"Faculty of 1000 Research Ltd","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"","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":[0.001203292,0.002707872,0.000968762,0.003134566,0.0007305159,0.002047663,0.001685358,0.001669726,0.05053785],"category_scores_gemma":[0.00923443,0.0004621377,0.001316241,0.004029547,0.000705085,0.001381619,0.001409054,0.002005022,0.1022955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001386406,"about_ca_system_score_gemma":0.002194884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02186392,"about_ca_topic_score_gemma":0.04876809,"domain_scores_codex":[0.9982299,0.0002636916,0.0001530625,0.000492461,0.0005625245,0.0002983701],"domain_scores_gemma":[0.996341,0.0009869525,0.0001916715,0.001042371,0.001170634,0.0002673259],"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":[0.0001617973,0.00007217014,0.001350999,0.0002989059,0.00002652549,0.00002956399,0.00002448156,0.0004758516,0.0003359565,0.0003401744,0.9927117,0.004172007],"study_design_scores_gemma":[0.0004409962,0.00006591382,0.01335107,0.0002345931,0.00005024602,0.0001954268,0.0002273727,0.002090611,0.002485603,0.002613611,0.9781939,0.00005064311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001287798,0.0001373162,0.000309223,0.0002081689,0.0001323756,0.00003107767,0.9938542,0.001491541,0.002548315],"genre_scores_gemma":[0.001751746,0.00005378467,0.000657266,0.00005596535,0.00001471718,0.00006850444,0.9954827,0.0001416421,0.001773606],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05053785,"threshold_uncertainty_score":0.169066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2812700048201536,"score_gpt":0.4758734887073472,"score_spread":0.1946034838871936,"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."}}