{"id":"W2943315333","doi":"10.29173/iasl7129","title":"The Importance of Information Literacy Lesson for Academic Honesty in High Schools","year":2018,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Educational Strategies and Epistemologies","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information literacy; Scope (computer science); Honesty; Presentation (obstetrics); Computer science; Psychology; Mathematics education; Pedagogy","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":[0.0004717857,0.0001122614,0.0001504652,0.00006669177,0.0001263096,0.00009916731,0.000353029,0.0001450979,0.00005058584],"category_scores_gemma":[0.0003652911,0.0000809037,0.00003167101,0.0002037507,0.000182282,0.0009375698,0.00004261798,0.0002331518,0.0000443223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003193467,"about_ca_system_score_gemma":0.0001104807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001800616,"about_ca_topic_score_gemma":0.00002027889,"domain_scores_codex":[0.9989722,0.000009021038,0.0004488301,0.0001588975,0.0001276394,0.0002834413],"domain_scores_gemma":[0.9983366,0.0001290422,0.0003205655,0.00009148318,0.001084791,0.00003751595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004634756,0.00004421844,0.4469062,0.0001119438,0.00002538391,2.464465e-7,0.1485606,3.189015e-7,0.00009186981,0.3696019,0.02029558,0.01389828],"study_design_scores_gemma":[0.000506123,0.0003554558,0.7923305,0.000106068,0.000008058426,0.00001055905,0.1196779,0.00004494134,0.0002852767,0.06707193,0.01942287,0.0001802866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992326,0.0001258363,0.0001170712,0.004290271,0.0003915471,0.0003305392,0.00003729521,0.00002830493,0.002353098],"genre_scores_gemma":[0.9984781,0.00004830659,0.0003475174,0.0002572966,0.0001998956,0.0001908885,0.00001509061,0.000005586368,0.0004572796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3454243,"threshold_uncertainty_score":0.3299157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03903782146976703,"score_gpt":0.3650055542038979,"score_spread":0.3259677327341308,"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."}}