{"id":"W3143350536","doi":"10.29173/iasl7547","title":"Information Literacy Alliances","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information literacy; West indies; Literacy; Medical education; School library; Library science; Sociology; Political science; Pedagogy; Medicine; Computer science","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","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0003968551,0.0001096168,0.0001230828,0.00009223844,0.0005212192,0.001828212,0.0003732545,0.00008677011,0.001431543],"category_scores_gemma":[0.0005249559,0.0001036326,0.00005163081,0.0007209936,0.0001914305,0.06512509,0.000079319,0.0001396589,0.0006751102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003176838,"about_ca_system_score_gemma":0.0005909725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008677928,"about_ca_topic_score_gemma":0.00000341386,"domain_scores_codex":[0.9986144,0.00001866789,0.0003337678,0.00013058,0.0005428608,0.0003597733],"domain_scores_gemma":[0.9976656,0.00003604759,0.0001590965,0.00007221861,0.001879877,0.0001871142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007273502,0.00001748168,0.005133103,0.00002719348,0.000004664815,9.667771e-7,0.7824455,5.282567e-7,0.00001420463,0.1538942,0.01504003,0.04341481],"study_design_scores_gemma":[0.0001063161,0.00002043274,0.00289478,0.00004068971,0.000002471683,0.000003192944,0.20737,0.0001427057,0.0003637194,0.004343052,0.7845652,0.0001474224],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6413669,0.0001146164,0.0005529283,0.02192001,0.0006632344,0.0002449044,0.00004379865,0.0003298939,0.3347637],"genre_scores_gemma":[0.9834962,0.0001853996,0.001367529,0.007273568,0.000225874,0.00001706124,0.00003578568,0.000003174142,0.007395393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7695252,"threshold_uncertainty_score":0.9994813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0179075252633073,"score_gpt":0.2942296008971086,"score_spread":0.2763220756338013,"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."}}