{"id":"W3143466708","doi":"10.29173/iasl7511","title":"Learning, Changing and Affecting","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":"Curriculum; Promotion (chess); Mainland China; Session (web analytics); Library science; Reading (process); School library; Government (linguistics); China; Medical education; Professional development; Mathematics education; Political science; Psychology; Pedagogy; Sociology; Medicine; Computer science; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.0005802906,0.00008094198,0.00009966022,0.00009667467,0.0008388298,0.0007570727,0.0001366005,0.00006035018,0.0003507482],"category_scores_gemma":[0.0006583647,0.00007940449,0.00002503379,0.0005607148,0.0001560282,0.008706106,0.0001110941,0.0001673717,0.00004659268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001504574,"about_ca_system_score_gemma":0.0001803959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004321439,"about_ca_topic_score_gemma":0.000003302085,"domain_scores_codex":[0.99902,0.00002174468,0.000137642,0.0001927068,0.0002724062,0.0003554764],"domain_scores_gemma":[0.9992256,0.00004683842,0.00008249116,0.00002985701,0.0004730647,0.0001421176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000002247449,0.000007369932,0.02309287,0.00002141098,0.000003230036,0.00000209441,0.905975,3.167367e-7,0.00008996328,0.04901534,0.0005843246,0.02120576],"study_design_scores_gemma":[0.0001095858,0.00004508809,0.003745363,0.00006195025,0.000003549935,0.000009336203,0.7994017,0.0003408406,0.0007151719,0.001540003,0.1938586,0.0001687727],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9212631,0.00006037777,0.00006281379,0.003477792,0.0001202525,0.00007192957,0.000001500342,0.0001339682,0.07480826],"genre_scores_gemma":[0.986453,0.00009357306,0.0003796407,0.001104836,0.0001823187,0.000004683061,0.000002965027,0.000004051809,0.01177494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1932743,"threshold_uncertainty_score":0.730047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01694455117243515,"score_gpt":0.277238416221862,"score_spread":0.2602938650494268,"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."}}