{"id":"W6931861961","doi":"10.5683/sp3/lqg4ht","title":"Panel - De l'accès libre à restreint - Le continuum d'accès aux données de Statistique Canada","year":2020,"lang":"fr","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Ontario Council of University Libraries; Concordia University; Université Laval","funders":"","keywords":"Statistical analysis; Panel data; Field (mathematics); Limiting","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002724098,0.001241207,0.001219899,0.005052512,0.002048992,0.004102605,0.002333857,0.00122939,0.03022465],"category_scores_gemma":[0.01033118,0.000660326,0.001248676,0.01114804,0.0008562543,0.001202899,0.00230345,0.002402283,0.02085206],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01156029,"about_ca_system_score_gemma":0.02927359,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8900661,"about_ca_topic_score_gemma":0.9356125,"domain_scores_codex":[0.9972754,0.0002840921,0.0001533081,0.0005863805,0.001095494,0.0006052366],"domain_scores_gemma":[0.9923941,0.0009648314,0.0003955518,0.0009345057,0.004443425,0.0008674932],"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":[0.00008512711,0.00001425161,0.003290884,0.0002341178,0.00005030937,0.00002155547,0.00007116592,0.0003787999,0.000117609,0.001520967,0.9906604,0.003554808],"study_design_scores_gemma":[0.00009125744,0.000008925954,0.03114682,0.0002531723,0.0000449467,0.0000401836,0.0002730869,0.0005811077,0.0004044887,0.0008581028,0.9662583,0.00003964857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005153688,0.000141977,0.0001104098,0.0002507982,0.00004422816,0.00001192398,0.9963779,0.0001329724,0.002414355],"genre_scores_gemma":[0.00186373,0.00008557116,0.0002965644,0.00008772204,0.00001192908,0.00003486764,0.9942005,0.00004631077,0.003372912],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9884397,"threshold_uncertainty_score":0.2211625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03742854016248305,"score_gpt":0.2592997922260409,"score_spread":0.2218712520635579,"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."}}