{"id":"W6931824186","doi":"10.5683/sp/soowru","title":"Canadian Business Patterns, June 2002 [B2020]","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Quasicrystal Structures and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; Subdivision; Sampling frame; Classification scheme; Line of business","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001795336,0.0003289867,0.0003708276,0.0001659191,0.0002064346,0.0002806047,0.0007668642,0.0003196427,0.002832869],"category_scores_gemma":[0.0000965982,0.0002599856,0.00006625981,0.0002230856,0.00006288051,0.00008727353,0.0001558828,0.0001961536,0.002165605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001624596,"about_ca_system_score_gemma":0.0003893245,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939813,"about_ca_topic_score_gemma":0.9933813,"domain_scores_codex":[0.9982406,0.00006453237,0.000293988,0.0004510186,0.0003570539,0.0005928372],"domain_scores_gemma":[0.998683,0.00002719395,0.0001229475,0.0007490602,0.0001172452,0.0003005515],"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":[0.000008150862,0.000004258886,0.000003716206,0.0002073506,0.00001015825,0.0001754325,0.00001741308,0.000006897805,0.0001405582,0.000004871716,0.9992075,0.0002136988],"study_design_scores_gemma":[0.00008144626,0.00001462932,0.0009093306,0.0001189821,0.00003498661,0.00001594093,0.00001886358,0.0000011218,0.0001571808,0.00006302087,0.9982202,0.0003642772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001296578,0.0002858009,0.000001012657,0.001033043,0.001982718,0.0001866756,0.9960763,0.00008505122,0.000219745],"genre_scores_gemma":[0.00002029697,0.0005334436,0.00001255369,0.000640587,0.0007774612,0.00003422458,0.9958991,0.00004426441,0.002038104],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.001818359,"threshold_uncertainty_score":0.9999852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01555391156624068,"score_gpt":0.227279150230009,"score_spread":0.2117252386637684,"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."}}