{"id":"W3146048806","doi":"10.29173/iasl7691","title":"School Library, Keep Exploring","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":"Multitude; Promotion (chess); Reading (process); Curriculum; School library; Matching (statistics); Mathematics education; Library science; Pedagogy; Computer science; Sociology; Psychology; Political science; Mathematics","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":[0.0002687989,0.0001296198,0.000150459,0.0001066704,0.0005818494,0.001565634,0.0005153742,0.00008148168,0.005285804],"category_scores_gemma":[0.0005011839,0.000126796,0.00006514027,0.000877495,0.000197011,0.05092916,0.0001812174,0.000205857,0.0007361611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002449292,"about_ca_system_score_gemma":0.0008778075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005138024,"about_ca_topic_score_gemma":0.000002309296,"domain_scores_codex":[0.9984168,0.00002201251,0.0002909101,0.0002875523,0.0005186746,0.0004639826],"domain_scores_gemma":[0.9988363,0.00003725938,0.0001029887,0.00009355436,0.0005388528,0.0003909903],"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":[0.00001502358,0.00004992877,0.03765349,0.00004004618,0.00001168152,0.00001063683,0.563273,6.034185e-7,0.0001084251,0.339512,0.03638909,0.02293613],"study_design_scores_gemma":[0.0001313909,0.00002788657,0.004972548,0.00006071171,0.000003498981,0.000004007781,0.2604879,0.00005368526,0.002006418,0.007599262,0.7244278,0.0002249414],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6894187,0.00008264971,0.00004745494,0.01502253,0.0004354383,0.000132328,0.00001430221,0.0003723319,0.2944742],"genre_scores_gemma":[0.9642619,0.0003231184,0.001255848,0.005151052,0.0005421335,0.00003856632,0.00001349375,0.00001034007,0.02840347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6880386,"threshold_uncertainty_score":0.9994708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05455798446790836,"score_gpt":0.2797039789409236,"score_spread":0.2251459944730153,"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."}}