{"id":"W6998833800","doi":"","title":"2019 04 09 Bilan du Canadien avec Marc Fortier et Stéphane Lebeau","year":2019,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Control (management); Order (exchange); Work (physics); Subject (documents)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000614553,0.0006402755,0.0003836392,0.0009787529,0.001693997,0.002608198,0.0004798563,0.001321764,0.791239],"category_scores_gemma":[0.00236288,0.0002330139,0.0003271049,0.0008082384,0.0003564048,0.001002641,0.001621868,0.001578517,0.5794873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00124219,"about_ca_system_score_gemma":0.00248355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02431603,"about_ca_topic_score_gemma":0.05625795,"domain_scores_codex":[0.9996131,0.00004244479,0.00001020326,0.00004641083,0.000189756,0.00009811363],"domain_scores_gemma":[0.9986442,0.0001085441,0.00006117788,0.00005369533,0.0004568819,0.0006755292],"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":[0.0000316599,0.00001754116,0.0001459609,0.0000482735,0.000001099899,0.00006363454,0.00003385392,0.00001501169,0.0001672567,0.0009587774,0.9639857,0.03453105],"study_design_scores_gemma":[0.000002288281,0.000006695003,0.0002049483,0.0000238658,4.527351e-7,0.00003200823,0.00002299048,0.000006110211,0.00004647759,0.00007253714,0.9995798,0.00000177558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008832733,0.003075035,0.0004466917,0.007888495,0.005382091,0.0001061991,0.003396871,0.001581121,0.9772401],"genre_scores_gemma":[0.00162436,0.0007547364,0.0002226752,0.000656228,0.0003241904,0.00001964754,0.0005437349,0.0003206593,0.9955337],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.208761,"threshold_uncertainty_score":0.2977722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004757844261749852,"score_gpt":0.1811231091241311,"score_spread":0.1763652648623813,"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."}}