{"id":"W7065783266","doi":"","title":"Émission spéciale du 1er mai d'En Profondeur sur CKUT","year":2017,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gender relations; Context (archaeology); Indian ocean; Ethnography","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":[],"category_scores_codex":[0.0005558838,0.0007290096,0.0003822996,0.0008683433,0.00539837,0.004225321,0.0007262705,0.002023668,0.3356941],"category_scores_gemma":[0.002623339,0.0003925857,0.0002823986,0.001031016,0.001194027,0.002688501,0.003477512,0.002288854,0.0960666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002567574,"about_ca_system_score_gemma":0.004203323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06124531,"about_ca_topic_score_gemma":0.1425114,"domain_scores_codex":[0.9992378,0.00009738327,0.00001857848,0.00009832356,0.0003370495,0.0002109037],"domain_scores_gemma":[0.9988476,0.0001512171,0.00007091716,0.00007904624,0.0004404722,0.000410727],"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":[0.00005084907,0.00001406214,0.0009350262,0.0002192261,0.000003215566,0.0004724208,0.003277858,0.00004357789,0.0006832569,0.003604973,0.9333172,0.05737842],"study_design_scores_gemma":[8.901836e-7,0.00000496992,0.0007330769,0.00008208957,0.000001038151,0.00009408178,0.0007833893,0.000007399731,0.0001437744,0.00008470417,0.9980612,0.000003337328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01243431,0.02091627,0.00208652,0.03222695,0.02054926,0.0001603637,0.003417354,0.0019844,0.9062247],"genre_scores_gemma":[0.01277289,0.003616114,0.0003768677,0.001654147,0.0007839194,0.00002611125,0.0005575247,0.0004063129,0.979806],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3356941,"threshold_uncertainty_score":0.9475518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005686263839175538,"score_gpt":0.1782397911004844,"score_spread":0.1725535272613088,"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."}}