{"id":"W2958659005","doi":"","title":"Welland County Industrial Home fonds, 1888-1947","year":2016,"lang":"en","type":"article","venue":"Brock University Digital Repository (Brock University)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clothing; Population; Geography; History; Archaeology; Sociology; Demography","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":[0.0002121916,0.0002592912,0.0002027148,0.001410125,0.008586992,0.001717047,0.0004535191,0.0004244292,0.02397072],"category_scores_gemma":[0.0006899389,0.0002522849,0.00007873848,0.002546467,0.001331837,0.0006797587,0.001212628,0.0007639895,0.001725391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02221376,"about_ca_system_score_gemma":0.009627317,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9445648,"about_ca_topic_score_gemma":0.9930494,"domain_scores_codex":[0.9996804,0.00001973901,0.00000639989,0.00003750073,0.00009352979,0.0001623709],"domain_scores_gemma":[0.9997644,0.0000225158,0.00003368843,0.00001158287,0.00008752575,0.00008030834],"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":[0.0002097594,0.00006957891,0.07705995,0.0003346066,0.00002618864,0.003113709,0.1649444,0.0001762878,0.0009056847,0.06119272,0.4671744,0.2247927],"study_design_scores_gemma":[0.00000237943,0.000007403286,0.08046436,0.00009924758,0.000004095679,0.0001531959,0.01467078,0.00001359581,0.000115132,0.00023577,0.9042252,0.000008725574],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.3865588,0.0203052,0.0003260893,0.007296264,0.0004372424,0.00007690183,0.01232228,0.00008702873,0.5725902],"genre_scores_gemma":[0.5010743,0.006117511,0.0004257336,0.0004494308,0.00007002408,0.00003941955,0.002090472,0.0000441018,0.4896891],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.05543524,"threshold_uncertainty_score":0.1611729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219473170739589,"score_gpt":0.1735303644271174,"score_spread":0.1613356327197216,"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."}}