{"id":"W6912993082","doi":"10.5683/sp3/cgmlj7","title":"Série d'enquêtes sur les perspectives canadiennes 4, 2020: Les sources d'information consultées pendant la pandémie","year":2020,"lang":"fr","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Context (archaeology); Perspective (graphical); Typology","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":[0.003587942,0.001501974,0.000956534,0.0059485,0.001127039,0.00320075,0.00173285,0.002199064,0.02204926],"category_scores_gemma":[0.01942573,0.000538655,0.001254631,0.008143918,0.0004562787,0.001905458,0.002639104,0.002134676,0.02316613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00378604,"about_ca_system_score_gemma":0.005220717,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1629744,"about_ca_topic_score_gemma":0.22022,"domain_scores_codex":[0.997427,0.0005364464,0.0003209289,0.0004690574,0.0008547524,0.000391693],"domain_scores_gemma":[0.9922281,0.002480202,0.001015692,0.0009227499,0.002595405,0.000757927],"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":[0.0001016363,0.00001753952,0.004260379,0.0006700196,0.00004149912,0.00004196828,0.0001590082,0.0001857452,0.0001060839,0.0009783636,0.9884427,0.004995084],"study_design_scores_gemma":[0.0001082538,0.00001987132,0.02588466,0.0007353292,0.00004677887,0.00009445808,0.0005310919,0.0004153069,0.00027793,0.0008932316,0.9709472,0.00004594537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005122096,0.0002448554,0.00008367514,0.0003424757,0.00007566682,0.00001623195,0.9968706,0.000123556,0.001730691],"genre_scores_gemma":[0.001561377,0.0002022484,0.0004666604,0.0001292193,0.00002779673,0.00009525807,0.9960063,0.00004013665,0.001471108],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8370256,"threshold_uncertainty_score":0.3240515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650814066889881,"score_gpt":0.2335536105143311,"score_spread":0.2170454698454323,"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."}}