{"id":"W6996976865","doi":"","title":"4th CCLA Annual Meeting/ Le congrès annuel de l’ACLC: McGill University, 1972","year":2020,"lang":"fr","type":"other","venue":"York University Digital Library (York University)","topic":"Health Education and Validation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Economic shortage; Selection (genetic algorithm); Outbreak; Productivity","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":[0.002608837,0.001628156,0.0007381134,0.002989941,0.002271277,0.004493857,0.00162063,0.002577929,0.32298],"category_scores_gemma":[0.005812317,0.0006637536,0.0008164264,0.002356846,0.001532105,0.002329909,0.003399876,0.002758994,0.09346789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008235109,"about_ca_system_score_gemma":0.01175422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1229274,"about_ca_topic_score_gemma":0.2806461,"domain_scores_codex":[0.9984333,0.0003546013,0.000104677,0.0002276952,0.00057284,0.0003068623],"domain_scores_gemma":[0.9963056,0.0004586116,0.0001431801,0.0002845899,0.001968147,0.0008398855],"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":[0.00007808983,0.00002972122,0.0004827705,0.00006079629,0.000005624055,0.00005711436,0.00004158952,0.00007204236,0.00011636,0.001574023,0.9634104,0.03407148],"study_design_scores_gemma":[0.00001635337,0.00000934413,0.00236822,0.0001772407,0.00000529194,0.00005647132,0.0000800847,0.00009117168,0.0001684569,0.0006904206,0.9963272,0.000009756758],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005993979,0.0784588,0.005945526,0.1744559,0.08305719,0.0004392996,0.034116,0.001223911,0.6163094],"genre_scores_gemma":[0.00953027,0.01094366,0.002405563,0.003064374,0.004611576,0.0002941044,0.00568311,0.0007168372,0.9627505],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8770726,"threshold_uncertainty_score":0.9656868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03596949994228201,"score_gpt":0.2330822027467757,"score_spread":0.1971127028044937,"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."}}