{"id":"W7006234743","doi":"","title":"Toronto : Événement d’art public","year":2000,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Agency (philosophy); Public policy; Public sector; Quality (philosophy)","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":[0.0006825445,0.001215055,0.0008666517,0.001855204,0.003783509,0.006427036,0.001068525,0.001936089,0.7061229],"category_scores_gemma":[0.002007136,0.0006794002,0.0005602714,0.004411311,0.001431551,0.001812344,0.001733768,0.002022088,0.2036427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01128284,"about_ca_system_score_gemma":0.01547597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5658847,"about_ca_topic_score_gemma":0.7716861,"domain_scores_codex":[0.9990548,0.00005418723,0.00002699598,0.0001162215,0.0005226721,0.0002250166],"domain_scores_gemma":[0.9987004,0.000133202,0.00007361299,0.0002406898,0.0005176761,0.0003345206],"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":[0.00004119955,0.000007125345,0.0001386251,0.00009898843,0.000004064455,0.0001108365,0.00009134657,0.00007298706,0.0001343908,0.007110476,0.9658709,0.02631909],"study_design_scores_gemma":[0.000003996189,0.000002305582,0.0005026698,0.0000253701,0.000001588874,0.00001572034,0.00005676781,0.00002728124,0.00004673879,0.0002417808,0.9990722,0.000003481163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001384829,0.01010607,0.0006202135,0.01547732,0.005479613,0.00006386327,0.02013956,0.001465393,0.9452632],"genre_scores_gemma":[0.003006957,0.001828996,0.000176795,0.0002929769,0.0002683597,0.00001124317,0.001483015,0.0002704113,0.9926612],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7061229,"threshold_uncertainty_score":0.8733438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003306229437578641,"score_gpt":0.1712560340886937,"score_spread":0.1679498046511151,"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."}}