{"id":"W4416598101","doi":"10.5256/f1000research.6529.d102594","title":"Supplementary Datasets 1–11.","year":2015,"lang":"en","type":"dataset","venue":"Faculty of 1000 Research Ltd","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01279959,0.00079668,0.001250496,0.001936539,0.0003271763,0.0002036321,0.005321665,0.000691818,0.0410093],"category_scores_gemma":[0.001989939,0.0007383815,0.0002604845,0.00162385,0.001478665,0.0003273864,0.004122279,0.002839497,0.04781249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001269788,"about_ca_system_score_gemma":0.002468903,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06808255,"about_ca_topic_score_gemma":0.02437923,"domain_scores_codex":[0.9831108,0.002079311,0.001157521,0.001490373,0.009874289,0.002287704],"domain_scores_gemma":[0.9906609,0.0005419968,0.000459805,0.004329305,0.002867018,0.001140993],"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":[0.0002686457,0.0006575197,0.00005868921,0.0006636425,0.0002718592,0.0003132711,0.00004438231,0.000002942476,0.0002094102,0.000006133439,0.9973812,0.0001223564],"study_design_scores_gemma":[0.001526174,0.0004156563,0.00005544454,0.0003358578,0.0001019235,0.00002727494,0.000275684,0.000003282233,0.0007362165,0.00008607366,0.995782,0.0006544602],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009797878,0.0002217592,1.930285e-7,0.001307021,0.0001944271,0.001389031,0.9964814,0.00005224934,0.0002559343],"genre_scores_gemma":[0.00000867851,0.0001607969,0.0002561124,0.00005162694,0.0005178503,0.000161696,0.9962175,0.0001742595,0.002451503],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04370333,"threshold_uncertainty_score":0.9995067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.114765835702368,"score_gpt":0.4432960596281327,"score_spread":0.3285302239257647,"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."}}