{"id":"W6903023033","doi":"10.7916/d8-a1pb-s638","title":"Carnegie Public Library, Beaverton, 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":[0.0009421249,0.0009924287,0.0009219899,0.003945997,0.01824752,0.008820722,0.001698294,0.002378175,0.5455568],"category_scores_gemma":[0.004999651,0.001264839,0.0004952231,0.005493606,0.001812473,0.00327457,0.002146428,0.00207233,0.143323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03198268,"about_ca_system_score_gemma":0.09105767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9392815,"about_ca_topic_score_gemma":0.9898751,"domain_scores_codex":[0.9985943,0.0001101582,0.00006120594,0.0002671383,0.0007331448,0.0002339897],"domain_scores_gemma":[0.994866,0.0006282632,0.00009377146,0.0002491741,0.003172262,0.0009905078],"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":[0.000124021,0.00008764275,0.002324018,0.0003373742,0.00001734602,0.0002981299,0.000784946,0.0002499366,0.0005061658,0.01793377,0.850129,0.1272077],"study_design_scores_gemma":[0.00001682949,0.00001616473,0.008907449,0.0002662915,0.00001685891,0.00007321549,0.001925864,0.0002425728,0.0004575296,0.001234852,0.9868011,0.00004121271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007399061,0.006037184,0.001117338,0.01338612,0.0008425414,0.0001901566,0.01302787,0.001483905,0.9565159],"genre_scores_gemma":[0.004715045,0.001809258,0.000758269,0.0003979441,0.00001760565,0.00002032091,0.0009761018,0.0001866404,0.9911188],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5455568,"threshold_uncertainty_score":0.6482081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02940198974444835,"score_gpt":0.2335668228688833,"score_spread":0.204164833124435,"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."}}