{"id":"W7054745699","doi":"","title":"Assessing Understanding of Complex Causal Networks Using an Interactive Game","year":2013,"lang":"en","type":"article","venue":"Sound Ideas (University of Puget Sound)","topic":"Laser Design and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reductionism; Process (computing); Causal model; Key (lock); Cognition; Component (thermodynamics); Causal structure; A priori and a posteriori; Variety (cybernetics)","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":[0.002652251,0.001271884,0.0004913042,0.001746384,0.0007116344,0.003546965,0.001900858,0.0008413178,0.008686138],"category_scores_gemma":[0.01641603,0.0004831297,0.0009498757,0.0007029076,0.00130711,0.003714535,0.002137366,0.001299962,0.0005388712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001320583,"about_ca_system_score_gemma":0.001110946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003678512,"about_ca_topic_score_gemma":0.005719816,"domain_scores_codex":[0.9983854,0.0007693715,0.0001259741,0.0003520631,0.0002832925,0.00008391226],"domain_scores_gemma":[0.9862334,0.01171325,0.000515767,0.0006114021,0.0005978901,0.0003283769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002882459,0.005178931,0.06397684,0.003044724,0.0005612901,0.001847599,0.05652849,0.07906012,0.08200202,0.08536805,0.009568681,0.6099809],"study_design_scores_gemma":[0.001020285,0.005852122,0.08101922,0.001093506,0.0005591501,0.00264318,0.01790827,0.6619521,0.03736112,0.1052493,0.08472468,0.0006170833],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.620075,0.0001217675,0.3524718,0.0005295496,0.00005070919,0.002630683,0.000799259,0.002448666,0.02087245],"genre_scores_gemma":[0.504052,0.0002272463,0.4900306,0.0001275533,0.00001164932,0.001669029,0.0006469995,0.00007676336,0.003158212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008686138,"threshold_uncertainty_score":0.02905798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08411135328888963,"score_gpt":0.2680290063037221,"score_spread":0.1839176530148324,"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."}}