{"id":"W2335803856","doi":"","title":"Surveillance, Discrimination and Welfare Policy in Ontario","year":2010,"lang":"en","type":"article","venue":"TSpace (University of Toronto)","topic":"Human Rights and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Phenomenon; Welfare; Relation (database); Political science; Public relations; Sociology; Positive economics; Epistemology; Computer science; Economics; Law; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001931928,0.0001699182,0.0002528963,0.001154835,0.01604798,0.003989494,0.0009053227,0.001672755,0.003084147],"category_scores_gemma":[0.005096307,0.0002901122,0.0002689071,0.003042436,0.008427987,0.001518121,0.0025022,0.001216758,0.0001080999],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1610293,"about_ca_system_score_gemma":0.1707516,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929414,"about_ca_topic_score_gemma":0.995675,"domain_scores_codex":[0.9963295,0.0006359791,0.0001067058,0.000168531,0.0009364505,0.001822969],"domain_scores_gemma":[0.9944629,0.001521156,0.0008644241,0.0002101799,0.001446082,0.001495237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004724295,0.0002320031,0.1776359,0.0008209155,0.00007073151,0.002096971,0.157247,0.004418476,0.002834258,0.5266432,0.02811827,0.09941002],"study_design_scores_gemma":[0.0001261355,0.0001834211,0.5211126,0.0008857084,0.00009186869,0.0003758317,0.1212251,0.003772066,0.00126509,0.03917959,0.3115622,0.0002204671],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8051721,0.004847061,0.0009655081,0.05494891,0.0001118973,0.0001530468,0.0003819441,0.00003299991,0.1333865],"genre_scores_gemma":[0.985814,0.001470634,0.0003068572,0.0008960051,0.00001860532,0.00002649474,0.00005268234,0.000005276991,0.01140946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1610293,"threshold_uncertainty_score":0.9730871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01537243071144239,"score_gpt":0.257610331054227,"score_spread":0.2422379003427846,"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."}}