{"id":"W3141539352","doi":"10.29173/iasl7983","title":"Assessing Teacher and Librarian Collaboration: A Preliminary Report","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Factoring; Scale (ratio); Exploratory factor analysis; Psychology; Consistency (knowledge bases); Mathematics education; Survey instrument; Computer science; Psychometrics; Applied psychology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0005525479,0.0001083567,0.0001355844,0.00007121025,0.0006545034,0.003236888,0.0001890137,0.000109342,0.000889422],"category_scores_gemma":[0.0007189501,0.0001049378,0.00002537639,0.0007227372,0.0002639457,0.03967233,0.0001143511,0.0001451235,0.00002407352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002333256,"about_ca_system_score_gemma":0.001245852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004335898,"about_ca_topic_score_gemma":0.000003979569,"domain_scores_codex":[0.9986885,0.00003166306,0.0003021685,0.0002933522,0.0004113282,0.0002730449],"domain_scores_gemma":[0.9985553,0.00003762389,0.0001708501,0.00007937862,0.0009572387,0.0001995968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001802582,0.00006300902,0.03906228,0.00004746454,0.00001207889,0.00007552807,0.8153183,2.781134e-7,0.0001017803,0.1060539,0.01807923,0.02116804],"study_design_scores_gemma":[0.0001439757,0.0000510197,0.02251214,0.00006881394,0.000007981772,0.00008144685,0.5756831,0.0002446724,0.0002467954,0.003891186,0.3968519,0.0002169764],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7731031,0.0001178193,0.0001148125,0.0251965,0.0002262073,0.0001580095,0.000005358246,0.0001538794,0.2009243],"genre_scores_gemma":[0.9733962,0.00004290864,0.002084118,0.001693781,0.0002887165,0.00001507383,0.00001837392,0.000005974042,0.0224548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3787727,"threshold_uncertainty_score":0.9977978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03061833251862315,"score_gpt":0.3227513807485015,"score_spread":0.2921330482298783,"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."}}