{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002097874,0.0002113199,0.0002788293,0.00007966136,0.00005904152,0.00001936436,0.0004515272,0.0003793393,0.00001881008],"category_scores_gemma":[0.0006001442,0.0001841805,0.00008838658,0.0001215052,0.0001432476,0.000001934915,0.0002833598,0.0001484185,0.000013416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003087905,"about_ca_system_score_gemma":0.0005704608,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7284861,"about_ca_topic_score_gemma":0.8412973,"domain_scores_codex":[0.9983056,0.00004279026,0.0004620056,0.0002581398,0.0005905821,0.0003409124],"domain_scores_gemma":[0.9987162,0.00001891365,0.000200284,0.0006768886,0.00022564,0.0001620967],"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":[0.00003558805,0.0000211008,0.00002898397,0.0003628034,0.00006407706,0.000006306566,0.00000287994,0.00000184676,0.0002098429,0.000003992767,0.9985322,0.0007303946],"study_design_scores_gemma":[0.000154261,0.0001734113,0.001927653,0.00003866986,0.00002497409,0.000004734141,0.00004532254,0.000005392713,0.001772135,0.00002829767,0.9956232,0.0002019795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001965196,0.0001348245,0.000002358384,0.0002283857,0.0002472786,0.0002289954,0.998719,0.000007986017,0.0002346338],"genre_scores_gemma":[0.00006423242,0.001355864,0.0001564757,0.0001177688,0.0003750447,0.00002310121,0.9968898,0.00002111283,0.0009965861],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1128112,"threshold_uncertainty_score":0.7510662,"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."}}