{"id":"W2181754479","doi":"","title":"Collective Immersive Simulations: A New Approach to Learning and Instruction of Complex Biology Topics","year":2014,"lang":"en","type":"article","venue":"ICLS","topic":"Evolution and Science Education","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Curriculum; Immersive technology; Computer science; Field (mathematics); Human–computer interaction; Mathematics education; Multimedia; Virtual reality; Psychology; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001411922,0.0007374405,0.0003210549,0.0005497694,0.0008440771,0.002753302,0.002122752,0.0009628356,0.00777039],"category_scores_gemma":[0.003365192,0.0004835678,0.0007739209,0.0002082849,0.002229447,0.001811933,0.00587441,0.001289598,0.0006854505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004993515,"about_ca_system_score_gemma":0.000743727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004461301,"about_ca_topic_score_gemma":0.001338773,"domain_scores_codex":[0.998517,0.0008601963,0.00004645368,0.0001815659,0.0002818799,0.0001129501],"domain_scores_gemma":[0.9978704,0.00124718,0.00009931186,0.0003736591,0.00009969875,0.0003096523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006084038,0.002649688,0.01009035,0.00169817,0.0003219471,0.001206388,0.09903583,0.0478877,0.1493816,0.1680825,0.01233752,0.5067],"study_design_scores_gemma":[0.0004814249,0.004059014,0.008832203,0.0007431671,0.0003194497,0.00270371,0.01933306,0.1468647,0.05036579,0.09821223,0.6677288,0.000356449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1378707,0.0005128594,0.8094901,0.001352439,0.0001890579,0.0005953038,0.00007481483,0.001544217,0.04837051],"genre_scores_gemma":[0.4718436,0.0004811543,0.5143284,0.0003586446,0.00007293555,0.001341859,0.00009915847,0.0002554535,0.01121875],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00777039,"threshold_uncertainty_score":0.02599454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08938096014983678,"score_gpt":0.3047236119447498,"score_spread":0.215342651794913,"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."}}