{"id":"W3152871356","doi":"10.29173/pathfinder40","title":"Support local: Public libraries and local authors","year":2021,"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":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Metadata; Data collection; Local community; Computer science; World Wide Web; Content analysis; Order (exchange); Library science; Public relations; Political science; Sociology; Business; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.002770878,0.0001097064,0.0001332946,0.0003814413,0.004763363,0.004863095,0.000465034,0.00009881902,0.0001861979],"category_scores_gemma":[0.0004727491,0.00009218735,0.00004184569,0.0007633823,0.001466363,0.01598,0.00008460374,0.0001979227,0.000009601856],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009838461,"about_ca_system_score_gemma":0.01287971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0014139,"about_ca_topic_score_gemma":0.005436729,"domain_scores_codex":[0.9975435,0.00008262625,0.0003741294,0.0001888829,0.001179668,0.0006311536],"domain_scores_gemma":[0.9974549,0.00006744868,0.0001553523,0.00009631246,0.0007233936,0.001502612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001589941,0.0000390555,0.4501448,0.00004085619,0.00002940475,0.00003608187,0.1710899,0.000009737671,0.00001673082,0.2295581,0.01284269,0.1361768],"study_design_scores_gemma":[0.000651624,0.0001561597,0.3693693,0.00008683126,0.00001396877,0.0000685001,0.2196911,0.00008966712,0.0001168792,0.009421431,0.3999522,0.0003823445],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9446923,0.0003107533,0.009564823,0.02778205,0.003626541,0.0006857062,0.0001010748,0.00003898575,0.01319775],"genre_scores_gemma":[0.9956281,0.00003593317,0.0003323469,0.002384688,0.00009677052,0.00001376407,0.00001246436,0.000003882937,0.001492105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3871095,"threshold_uncertainty_score":0.997783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06146280017659847,"score_gpt":0.3516674507172811,"score_spread":0.2902046505406826,"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."}}