{"id":"W6959230116","doi":"10.7916/d8-tqax-5w65","title":"Carnegie Public Library, Thunder Bay, Canada","year":2018,"lang":"en","type":"article","venue":"Columbia Academic Commons (Columbia University)","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Thunder; Government (linguistics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000329037,0.0001414675,0.0002335923,0.0001404697,0.002809809,0.0008648649,0.001812187,0.0003336169,0.004132593],"category_scores_gemma":[0.0001666806,0.0002595077,0.00009118299,0.002298047,0.001316284,0.003692503,0.000377553,0.0005740206,0.00007284978],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004262021,"about_ca_system_score_gemma":0.007682351,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8945154,"about_ca_topic_score_gemma":0.9985605,"domain_scores_codex":[0.9973135,0.0003968472,0.0002561228,0.0005448184,0.0006408768,0.0008478449],"domain_scores_gemma":[0.9983917,0.0001764264,0.0001780308,0.000430738,0.000124776,0.0006983109],"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":[0.00001075038,0.00003403487,0.4115724,0.000005581163,0.00002216166,0.00004844574,0.0007512039,3.21543e-7,0.00002396042,0.01728963,0.5660737,0.004167815],"study_design_scores_gemma":[0.0002686188,0.00008033485,0.06796256,0.00002258227,0.00002006385,0.000002448286,0.004869564,0.00002873477,0.00001153543,0.001717818,0.9246945,0.000321273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4266406,0.00003744777,0.00002172594,0.01115483,0.0008195138,0.0003451699,0.00004482656,0.000280247,0.5606557],"genre_scores_gemma":[0.7671373,0.00007848043,0.00006923001,0.0009952158,0.0004910535,0.000001553383,0.00001680567,0.00001596968,0.2311943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3586207,"threshold_uncertainty_score":0.9999857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03520261760561336,"score_gpt":0.2398564397156007,"score_spread":0.2046538221099873,"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."}}