{"id":"W3144892285","doi":"10.29173/iasl7704","title":"Increasing Science Literacy through Collaboration between Teachers and School Library Media Specialists","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Diverse Educational Innovations Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"School library; Mathematics education; Literacy; Scientific literacy; Information literacy; Media literacy; Pedagogy; Medical education; Sociology; Science education; Psychology; Library science; Computer science; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01126194,0.00047279,0.00049657,0.002797852,0.007421045,0.009194723,0.001556846,0.002126324,0.0130944],"category_scores_gemma":[0.03525474,0.000512643,0.0006533225,0.001112874,0.001813867,0.005456337,0.0168938,0.002255368,0.002976969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002198988,"about_ca_system_score_gemma":0.008604977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001309591,"about_ca_topic_score_gemma":0.004590187,"domain_scores_codex":[0.980646,0.01376024,0.0005216375,0.001570842,0.001478047,0.00202324],"domain_scores_gemma":[0.9477486,0.02473476,0.005440817,0.001768972,0.003281725,0.01702514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000477919,0.006970628,0.142025,0.00132542,0.0001581383,0.001440628,0.2501696,0.0002531488,0.005843191,0.004209186,0.01949582,0.5676314],"study_design_scores_gemma":[0.001002345,0.003842343,0.1608763,0.002829246,0.0004006327,0.002307893,0.5740049,0.0009939086,0.006203688,0.01768223,0.229634,0.0002224306],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8640336,0.002533626,0.01224134,0.02266303,0.0005559221,0.0005122591,0.00007532907,0.0006016434,0.09678331],"genre_scores_gemma":[0.9713321,0.0009697995,0.01299679,0.003005794,0.0003004468,0.000510243,0.0000866228,0.00006686239,0.01073123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0130944,"threshold_uncertainty_score":0.05955952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03482547053890945,"score_gpt":0.2830210523141196,"score_spread":0.2481955817752101,"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."}}