{"id":"W4386568644","doi":"10.29173/pathfinder72","title":"Climate Change Considerations in Public Library Collection Development","year":2023,"lang":"en","type":"article","venue":"Pathfinder A Canadian Journal for Information Science Students and Early Career Professionals","topic":"Library Science and Administration","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Climate change; Denial; Action (physics); Collection development; Public relations; Political science; Data collection; Environmental planning; Environmental resource management; Sociology; Geography; Psychology; Computer science; World Wide Web; Social science; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.003121587,0.00008638677,0.00009838844,0.001333429,0.005468093,0.002847391,0.0003173242,0.00006910436,0.00009749611],"category_scores_gemma":[0.0003677279,0.00007652739,0.00002636026,0.001789156,0.0002777181,0.01730391,0.00005520822,0.0001392153,0.00003204448],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001311386,"about_ca_system_score_gemma":0.006376331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009758517,"about_ca_topic_score_gemma":0.01008547,"domain_scores_codex":[0.9978793,0.00006936784,0.0003978608,0.0001404955,0.000856732,0.0006562343],"domain_scores_gemma":[0.9987815,0.00007933468,0.0001431923,0.0000623067,0.0002565966,0.0006770857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004482283,0.00001465371,0.7881119,0.00001226597,0.000004137858,0.000006439398,0.1579231,0.000003432215,0.000003915899,0.03841786,0.003951693,0.01154614],"study_design_scores_gemma":[0.0003149125,0.00003406802,0.9210153,0.00007435506,0.000001669869,0.000004766865,0.03184243,0.00004427094,0.00001828085,0.002291596,0.0442124,0.0001460018],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791606,0.00002992151,0.00002535673,0.01269588,0.001599077,0.0008728514,0.00003443318,0.00004267134,0.005539191],"genre_scores_gemma":[0.9976127,0.00005580131,0.0002352561,0.001443633,0.0001014915,0.0001189149,0.00001694175,0.000003906386,0.000411416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1329033,"threshold_uncertainty_score":0.9992566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1358299803221733,"score_gpt":0.369736954011958,"score_spread":0.2339069736897847,"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."}}