{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002703081,0.0001413275,0.0001621823,0.00003304942,0.000564253,0.001204329,0.0002420067,0.00006302042,0.0004555404],"category_scores_gemma":[0.001394705,0.0000739352,0.00001981289,0.001833448,0.000387059,0.004030386,0.0002788133,0.0001444954,0.00003775879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004464569,"about_ca_system_score_gemma":0.0002391277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007459849,"about_ca_topic_score_gemma":0.0000156135,"domain_scores_codex":[0.9987049,0.00001835174,0.0002270898,0.0004288349,0.0003676663,0.0002531449],"domain_scores_gemma":[0.9978484,0.0001718661,0.0001160511,0.00002995916,0.001707208,0.0001265073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000023967,0.000101543,0.791953,0.00002194814,0.00002761348,0.000004022549,0.10677,6.134034e-8,0.03812655,0.02371701,0.01010601,0.02914828],"study_design_scores_gemma":[0.00009538585,0.00004325451,0.8483359,0.00007246368,0.00001456988,0.0000114306,0.1061585,0.000003771279,0.004600454,0.007247041,0.03318095,0.0002363646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830038,0.0001312678,0.000001252842,0.008566551,0.0001400769,0.0001092217,0.0001134197,0.00008065187,0.007853792],"genre_scores_gemma":[0.9960039,0.00007543229,0.002100687,0.0004568127,0.0007362209,0.00001271227,0.00009687922,0.000001326418,0.0005160142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05638283,"threshold_uncertainty_score":0.9998325,"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."}}