{"id":"W451264338","doi":"","title":"LibGuides. Developmental Services Worker Agency Research. Toronto Area Neighbourhood Data.","year":2010,"lang":"en","type":"libguides","venue":"","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Agency (philosophy); Sociology; Geography; Social science; Mathematics","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":[0.0007356366,0.0007707484,0.0005360526,0.003821797,0.0009644878,0.001435204,0.001334591,0.0004183041,0.1429457],"category_scores_gemma":[0.005050204,0.0007084146,0.0003056081,0.0106016,0.0002920375,0.0008198707,0.001203155,0.0008324208,0.03077509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00602594,"about_ca_system_score_gemma":0.01220032,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8703867,"about_ca_topic_score_gemma":0.901445,"domain_scores_codex":[0.9994453,0.00008066036,0.0000689595,0.00007440076,0.0002239634,0.0001067154],"domain_scores_gemma":[0.9960151,0.000473136,0.0003031181,0.0003170056,0.002423181,0.0004684211],"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":[0.00008292808,0.00001594959,0.006660415,0.0003034477,0.00001021042,0.00003056461,0.000247488,0.0002641059,0.00003687038,0.0009071346,0.9653131,0.02612773],"study_design_scores_gemma":[0.00008389062,0.00002093634,0.0843109,0.0005566212,0.00003934789,0.00003493135,0.00127785,0.0009115647,0.0003763898,0.0006984188,0.9116566,0.00003258227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002263129,0.0004891374,0.000252469,0.0003092804,0.0000604595,0.00004450205,0.9659376,0.0004753402,0.03016806],"genre_scores_gemma":[0.02661767,0.001532228,0.002560276,0.0001388638,0.00004713725,0.0005327663,0.8687647,0.0006046335,0.09920174],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1429457,"threshold_uncertainty_score":0.4782009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3177989617041196,"score_gpt":0.4413755608618186,"score_spread":0.123576599157699,"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."}}