{"id":"W2885850229","doi":"","title":"Tending the Gardens of Citizenship: Child Saving in Toronto, 1880s-1920s","year":2007,"lang":"en","type":"article","venue":"Canadian social work review","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Citizenship; Political science; Sociology; Geography; History; Media studies; Law; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0009906179,0.0004083241,0.0004393977,0.003182975,0.01010355,0.003166558,0.001245843,0.001302807,0.009935156],"category_scores_gemma":[0.002806021,0.0004047764,0.0002479685,0.01056013,0.006628234,0.001331421,0.002439279,0.001824358,0.0004005324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1212147,"about_ca_system_score_gemma":0.1169539,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948427,"about_ca_topic_score_gemma":0.9985219,"domain_scores_codex":[0.9989069,0.0001239367,0.00004525844,0.00009740125,0.0003110999,0.0005154232],"domain_scores_gemma":[0.9980274,0.0002517424,0.0002757934,0.00006713703,0.0006699304,0.0007080208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002366583,0.00004435476,0.05345878,0.002290216,0.00008426997,0.002276319,0.5033138,0.0007006982,0.0006022278,0.1211324,0.1533843,0.1624761],"study_design_scores_gemma":[0.000009380157,0.00002421551,0.2859866,0.0009068436,0.00004466325,0.0002527242,0.09307685,0.00007230711,0.0002129546,0.00119193,0.618182,0.00003958802],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4683025,0.2374695,0.0003737461,0.07737418,0.001358339,0.0001049487,0.006713903,0.00006251912,0.2082402],"genre_scores_gemma":[0.8703301,0.07610778,0.000232463,0.00117047,0.0002825255,0.00003712224,0.0006915723,0.00003103112,0.05111693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1212147,"threshold_uncertainty_score":0.8794783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01807588704617279,"score_gpt":0.2795520656403102,"score_spread":0.2614761785941374,"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."}}