{"id":"W6906325742","doi":"10.17605/osf.io/kuvjy","title":"Tables","year":2018,"lang":"fr","type":"article","venue":"Open Science Framework","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Table (database); Set (abstract data type); Identification (biology); Process (computing)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001353628,0.001819663,0.001352463,0.01222127,0.00132692,0.004225333,0.001735669,0.001230902,0.886375],"category_scores_gemma":[0.03654883,0.0005235516,0.001684178,0.01308656,0.0004770711,0.002042148,0.001460721,0.001354587,0.5976822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00187859,"about_ca_system_score_gemma":0.003797795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01290703,"about_ca_topic_score_gemma":0.0157837,"domain_scores_codex":[0.9980299,0.000315817,0.0002550907,0.0003832346,0.0007951908,0.0002206957],"domain_scores_gemma":[0.979353,0.009758167,0.00156869,0.002262421,0.005995668,0.001061959],"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":[0.00005432139,0.00001554437,0.000316809,0.0006069643,0.00002151181,0.00001563288,0.00001786934,0.0001006531,0.00003283689,0.002067839,0.9843524,0.01239756],"study_design_scores_gemma":[0.00007864973,0.000014283,0.001729055,0.000673873,0.00002637222,0.00004415841,0.00007851005,0.0000881669,0.0000790905,0.004493207,0.9926779,0.00001678233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003052189,0.0007402831,0.0008086335,0.0009733071,0.00173394,0.0002106254,0.9244619,0.001335087,0.06943099],"genre_scores_gemma":[0.005767073,0.002098749,0.004773425,0.001911941,0.001340442,0.001172369,0.8116986,0.00238529,0.168852],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.113625,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04881643673537224,"score_gpt":0.3946330346752042,"score_spread":0.345816597939832,"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."}}