{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005162197,0.0005893357,0.0004810895,0.00155748,0.01338151,0.01177404,0.001835758,0.002641403,0.009536321],"category_scores_gemma":[0.01037631,0.0003080264,0.0006440195,0.001121679,0.02056867,0.01366103,0.01187563,0.005143406,0.002695266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004747375,"about_ca_system_score_gemma":0.00573565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008082261,"about_ca_topic_score_gemma":0.009856509,"domain_scores_codex":[0.9934152,0.002965498,0.0001753556,0.0011756,0.001074571,0.001193651],"domain_scores_gemma":[0.9953467,0.0007992021,0.0004068831,0.0007771563,0.001057041,0.001612954],"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":[0.00005693447,0.0003010538,0.01469638,0.0002708554,0.00005248176,0.002226324,0.4336865,0.0004076645,0.002204808,0.2857551,0.05810689,0.2022351],"study_design_scores_gemma":[0.00001028895,0.00008380163,0.003899497,0.0002011183,0.00003207184,0.0006439504,0.1450617,0.0003083035,0.0008180313,0.06864003,0.7802581,0.00004318604],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2168265,0.004694477,0.02005557,0.08370493,0.004585491,0.0002753923,0.0001847582,0.000787019,0.6688858],"genre_scores_gemma":[0.8607882,0.002943775,0.007014431,0.01305218,0.0007490158,0.0001397945,0.0001520492,0.0003092157,0.1148514],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01338151,"threshold_uncertainty_score":0.03444481,"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."}}