{"id":"W6958956920","doi":"10.7916/d8-0jst-gy39","title":"Carnegie Public Library, New Hamburg, Canada","year":2018,"lang":"en","type":"article","venue":"Columbia Academic Commons (Columbia University)","topic":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Public policy; Agency (philosophy); Work (physics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007446975,0.0009068115,0.00112819,0.005204742,0.01220366,0.009491701,0.001324356,0.001799727,0.5227249],"category_scores_gemma":[0.004173495,0.001178943,0.0004879192,0.01069492,0.001898805,0.002523134,0.001497213,0.001795445,0.1397234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0321085,"about_ca_system_score_gemma":0.08420829,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9412884,"about_ca_topic_score_gemma":0.9883789,"domain_scores_codex":[0.9990547,0.00005774413,0.00004064233,0.0001691686,0.0005167256,0.0001609448],"domain_scores_gemma":[0.9970394,0.0005759317,0.00008126134,0.0002033777,0.00164958,0.0004503466],"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":[0.00005183973,0.00003270383,0.001206679,0.0002512637,0.00001155869,0.0001444891,0.0003920529,0.0002096708,0.0002030101,0.02101295,0.9033728,0.07311088],"study_design_scores_gemma":[0.00001041227,0.000005316695,0.007045577,0.0002561454,0.00001402395,0.00004113181,0.001043362,0.000173788,0.000302844,0.001654718,0.9894205,0.00003207879],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004864835,0.009734895,0.001011359,0.01031924,0.0007826118,0.0001198376,0.04460069,0.001121164,0.9274454],"genre_scores_gemma":[0.005269809,0.004378257,0.0007681623,0.0003117537,0.00003124936,0.00003119279,0.003448942,0.0002678178,0.9854929],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5227249,"threshold_uncertainty_score":0.680775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02281872458992892,"score_gpt":0.2192908295874526,"score_spread":0.1964721049975237,"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."}}