{"id":"W4310102539","doi":"10.29173/iasl8529","title":"Students' Information Gathering Behaviors and Teachers' Approaches","year":2022,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Educational Systems and Policies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ninth; Mathematics education; Psychology; Information behavior; Process (computing); Computer science; Library 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002770984,0.0003326696,0.0003611569,0.002129078,0.0008127816,0.002996642,0.0006994332,0.0006534726,0.001390418],"category_scores_gemma":[0.02467422,0.00039363,0.0004317455,0.0008252611,0.0006504213,0.001143814,0.001453406,0.001175736,0.0004680384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006446488,"about_ca_system_score_gemma":0.0008177454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001410132,"about_ca_topic_score_gemma":0.001789124,"domain_scores_codex":[0.9966499,0.001187492,0.0004043547,0.0003732754,0.001107116,0.0002779522],"domain_scores_gemma":[0.9770094,0.01152492,0.005895636,0.001303425,0.002848555,0.001418084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002323122,0.0009405051,0.7153131,0.0003303691,0.00007862532,0.0004944658,0.1772542,0.0002652115,0.0145077,0.0006250446,0.0005099247,0.08944853],"study_design_scores_gemma":[0.0000512724,0.001259988,0.8009802,0.0002902981,0.0002061632,0.001829588,0.1592105,0.001991574,0.01430264,0.001412321,0.01832611,0.0001393104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969516,0.0001285852,0.000893924,0.00009096428,0.000002613995,0.00003233462,0.00002831238,0.00003577523,0.001835914],"genre_scores_gemma":[0.9969844,0.0001676057,0.0014175,0.00003901269,0.000003005465,0.00003785345,0.00006445583,0.000009994254,0.001276179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002996642,"threshold_uncertainty_score":0.01465458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03041063985380833,"score_gpt":0.2629460796387709,"score_spread":0.2325354397849626,"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."}}