{"id":"W7137463272","doi":"","title":"Résumé des panels : Utilisation des technologies de télésurveillance pour permettre aux personnes de rester dans leur domicile au Canada","year":2022,"lang":"fr","type":"other","venue":"MacSphere (McMaster University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Population; Context (archaeology); Work (physics)","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":[],"consensus_categories":[],"category_scores_codex":[0.004009305,0.0009865288,0.0003079271,0.00208666,0.002981083,0.004891378,0.001310591,0.001206098,0.09811067],"category_scores_gemma":[0.004861148,0.0003334634,0.0004430983,0.003187492,0.0006605362,0.0009986393,0.001522179,0.0009303612,0.02732095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008771895,"about_ca_system_score_gemma":0.03662229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9080938,"about_ca_topic_score_gemma":0.8981469,"domain_scores_codex":[0.9978691,0.0001793855,0.00006044836,0.0002043674,0.001329381,0.0003573819],"domain_scores_gemma":[0.9909407,0.0006175225,0.0002084599,0.0003316139,0.006731334,0.001170268],"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":[0.0001719506,0.00007742862,0.006791489,0.0003417513,0.00002042783,0.0001257997,0.0005989188,0.001260189,0.003175692,0.002455305,0.7780125,0.2069685],"study_design_scores_gemma":[0.00002355052,0.00004423842,0.0304508,0.0002240875,0.00002491405,0.00004508548,0.0004905866,0.0009962908,0.002179302,0.0004357992,0.9650543,0.000030949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02384075,0.005515108,0.02326582,0.0191712,0.004306526,0.002202672,0.09064928,0.003872179,0.8271765],"genre_scores_gemma":[0.1030763,0.006418508,0.01700861,0.0032554,0.0009379804,0.0006087684,0.04610022,0.001081426,0.8215128],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09811067,"threshold_uncertainty_score":0.3282129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02323555438896582,"score_gpt":0.2062146549574197,"score_spread":0.1829791005684539,"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."}}