{"id":"W6926263281","doi":"10.25318/1310073601-eng","title":"Other government income for adults with disabilities","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Income Support; Public policy; Poverty","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":[0.0007118545,0.001462272,0.001422224,0.005887599,0.001934748,0.002019409,0.002858056,0.0009972769,0.04087519],"category_scores_gemma":[0.006009243,0.0007570432,0.001334091,0.01864432,0.0003808277,0.001101214,0.001365092,0.002047743,0.02060114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01303485,"about_ca_system_score_gemma":0.03414725,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9636993,"about_ca_topic_score_gemma":0.9720265,"domain_scores_codex":[0.9987031,0.00005660517,0.0001769728,0.0001983718,0.0004951254,0.0003698256],"domain_scores_gemma":[0.9941851,0.0002545786,0.0004592682,0.0002038749,0.004366233,0.0005309503],"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":[0.00003363299,0.00001075303,0.002802268,0.0002845012,0.00002471984,0.00001233264,0.00001880166,0.00007940232,0.00001001823,0.0002702818,0.9948539,0.00159931],"study_design_scores_gemma":[0.0003674719,0.00002106008,0.1077627,0.00127278,0.0001078211,0.0000754255,0.0005515559,0.0004826567,0.0001988492,0.000519417,0.8885756,0.00006466533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001442384,0.00006318319,0.0000133199,0.00005244484,0.00001690282,0.00001497861,0.9989378,0.00002264021,0.0007344384],"genre_scores_gemma":[0.001288672,0.0002296815,0.0001101772,0.00007894858,0.00001201201,0.00009986967,0.9951687,0.00002080622,0.002991017],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04087519,"threshold_uncertainty_score":0.1367412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005533199643876903,"score_gpt":0.2267259655337225,"score_spread":0.2211927658898456,"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."}}