{"id":"W4391727142","doi":"10.1007/978-3-031-17299-1_1147","title":"General Social Survey: Canada","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Geography; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002352211,0.0002152471,0.0003858719,0.0002353342,0.0002057055,0.0001690217,0.0005316751,0.0002348661,0.00175],"category_scores_gemma":[0.0003284329,0.0001658352,0.0001608442,0.0001509203,0.00005140216,0.00004888247,0.00009707093,0.000218716,0.0008945703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005911275,"about_ca_system_score_gemma":0.0006983051,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5282204,"about_ca_topic_score_gemma":0.9771973,"domain_scores_codex":[0.9962425,0.00006364759,0.0006651988,0.0005413772,0.002259596,0.0002276658],"domain_scores_gemma":[0.9980392,0.0007500606,0.000260413,0.0003577169,0.000500924,0.00009169306],"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":[0.000007576816,0.000001872999,0.0001617731,0.000001801883,0.00003457302,0.00001733049,0.00002974286,0.0000964651,8.036908e-7,0.2080549,0.7697145,0.0218787],"study_design_scores_gemma":[0.0001637259,0.00001766665,0.00914885,0.00001143728,0.00002673109,0.000002237848,0.00007835564,0.003538332,9.373969e-7,0.423096,0.5633488,0.0005669394],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006219326,0.00002777043,0.0004955829,0.0006521171,0.001585168,0.0000824443,0.0003977285,0.00009257049,0.9960447],"genre_scores_gemma":[0.009928685,0.00003543709,0.00006723358,0.0004769386,0.0002757942,0.000002337637,0.0002184767,0.00004119913,0.9889539],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4489769,"threshold_uncertainty_score":0.9998834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2919636227265681,"score_gpt":0.3705908336998648,"score_spread":0.07862721097329667,"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."}}