{"id":"W2962585105","doi":"","title":"Computer-Supported Collaboration: Simulation-Based Training Using LEGO®.","year":2017,"lang":"en","type":"article","venue":"Americas Conference on Information Systems","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Training (meteorology); Human–computer interaction; Multimedia; Simulation","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":[0.001149464,0.0006184304,0.0003318141,0.0004737215,0.0003481192,0.000914128,0.001612599,0.0008754719,0.01537718],"category_scores_gemma":[0.003000167,0.0002727276,0.0003162557,0.0003691224,0.0003187818,0.0005865658,0.001476494,0.0006465125,0.001497755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006248209,"about_ca_system_score_gemma":0.001127762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004679839,"about_ca_topic_score_gemma":0.004408007,"domain_scores_codex":[0.9996208,0.0002301952,0.000016011,0.00003745204,0.00004530064,0.00005029813],"domain_scores_gemma":[0.9984859,0.0009575334,0.00005037517,0.00009417928,0.0001064345,0.0003057377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006809104,0.01425576,0.01150224,0.001107776,0.0002344454,0.0008815846,0.002710387,0.5711915,0.0122326,0.008511916,0.03376818,0.3367945],"study_design_scores_gemma":[0.003132502,0.004755082,0.008963269,0.0004553673,0.0001867692,0.0003254921,0.0007472615,0.9254342,0.008742248,0.009600762,0.03751287,0.0001442371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6950891,0.0007583859,0.2143877,0.001852035,0.0006730496,0.002248313,0.002884352,0.008436364,0.07367059],"genre_scores_gemma":[0.9325151,0.0003365982,0.05641583,0.0001859944,0.00003603417,0.001578078,0.000995512,0.0002054839,0.007731425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01537718,"threshold_uncertainty_score":0.05144173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.103720126769014,"score_gpt":0.3165911601118568,"score_spread":0.2128710333428427,"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."}}