{"id":"W6969227403","doi":"10.5683/sp3/zx4ftz","title":"Census of Population, 1981 [Canada]: Profile Series","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; American Community Survey; Demographic analysis; Population statistics","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":[0.0007779566,0.00203945,0.00200807,0.007873547,0.002060567,0.003278883,0.003053112,0.001271422,0.07614103],"category_scores_gemma":[0.008980573,0.0009929792,0.001104675,0.03559421,0.0005895784,0.001188169,0.001242785,0.002016675,0.07854947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01237277,"about_ca_system_score_gemma":0.03695089,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9220313,"about_ca_topic_score_gemma":0.9302533,"domain_scores_codex":[0.9987205,0.00008809373,0.0001485083,0.0002610646,0.00047624,0.0003056096],"domain_scores_gemma":[0.9922558,0.0007205803,0.0003534665,0.0005843245,0.005359762,0.0007260373],"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":[0.00002608735,0.000008685778,0.0007461505,0.0001761146,0.00001188895,0.000009429563,0.00001603359,0.0002331387,0.00001621297,0.0002702326,0.9972214,0.001264541],"study_design_scores_gemma":[0.0001515633,0.000008127262,0.01862982,0.0003270569,0.00003084336,0.00003597864,0.0001708822,0.0008374904,0.0001721844,0.0007980353,0.9787895,0.00004841174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005260307,0.00001700791,0.00001278222,0.00001915143,0.000005161588,0.000004366947,0.9994905,0.00004361659,0.0003548061],"genre_scores_gemma":[0.0003099331,0.00006005709,0.00008542927,0.00002206513,0.000003401363,0.00003059787,0.9986153,0.00002945455,0.000843801],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07796866,"threshold_uncertainty_score":0.2547171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01605305404578834,"score_gpt":0.2777301035384587,"score_spread":0.2616770494926703,"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."}}