{"id":"W6959235823","doi":"10.7916/d8-s68f-2w97","title":"Carnegie Public Library, Elora, 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":"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":[0.0007869157,0.0009766254,0.0008420793,0.003556595,0.02096754,0.00903063,0.001660559,0.002215142,0.5125458],"category_scores_gemma":[0.003706413,0.001156504,0.0005091536,0.00508347,0.00184688,0.00296197,0.0020582,0.00207224,0.1170608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03975816,"about_ca_system_score_gemma":0.1071925,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9630152,"about_ca_topic_score_gemma":0.99466,"domain_scores_codex":[0.9987526,0.00008644067,0.00005216966,0.0002419556,0.0006085652,0.0002583395],"domain_scores_gemma":[0.9956797,0.0004248378,0.00008466791,0.0001770372,0.002763768,0.0008700218],"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":[0.0001476326,0.0001045788,0.003626402,0.0003346048,0.00002137784,0.000347331,0.0007785814,0.0002459771,0.0004999671,0.01554553,0.8585778,0.1197703],"study_design_scores_gemma":[0.00002419879,0.00001914954,0.016072,0.0002845335,0.00002051529,0.00009440613,0.003073487,0.0003499298,0.0005085961,0.001168137,0.9783378,0.00004726489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01088592,0.005983169,0.0008840509,0.01470996,0.0007884894,0.0002270951,0.01856609,0.001550757,0.9464045],"genre_scores_gemma":[0.006072376,0.001770234,0.0007334315,0.0004851857,0.00002051575,0.00002617099,0.001307867,0.0001825639,0.9894018],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5125458,"threshold_uncertainty_score":0.6952943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03185461957491394,"score_gpt":0.2359879670292097,"score_spread":0.2041333474542958,"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."}}