{"id":"W3125717632","doi":"10.2139/ssrn.389301","title":"Learning in Cobweb Experiments","year":2003,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Business; Economics","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":[0.01272359,0.0006006792,0.0008692709,0.0007876187,0.0009346036,0.002801046,0.001293202,0.00169235,0.008748407],"category_scores_gemma":[0.129476,0.0003243251,0.0003905324,0.0009422563,0.001815353,0.006614816,0.002414264,0.002313967,0.001390071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001228976,"about_ca_system_score_gemma":0.000982452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001713538,"about_ca_topic_score_gemma":0.001388328,"domain_scores_codex":[0.991896,0.005475314,0.000365218,0.0009883232,0.0008952272,0.0003798988],"domain_scores_gemma":[0.8889195,0.09430219,0.002604139,0.008944016,0.003740634,0.001489485],"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":[0.01257712,0.009542244,0.05411277,0.001352265,0.0005430101,0.0004916721,0.0103814,0.169803,0.01552026,0.3028222,0.01946564,0.4033884],"study_design_scores_gemma":[0.0009061254,0.001960291,0.01497612,0.0002396005,0.0001395281,0.0002926366,0.002249562,0.4873697,0.02034355,0.456525,0.01486025,0.000137709],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7745551,0.0003952154,0.1905755,0.001467908,0.0002071921,0.0003414656,0.0007288234,0.001125857,0.03060293],"genre_scores_gemma":[0.9598238,0.00009938529,0.03404661,0.0002084388,0.0000437278,0.0003270722,0.0005801304,0.0001831203,0.004687719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01272359,"threshold_uncertainty_score":0.06728959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416271036516763,"score_gpt":0.296141904699024,"score_spread":0.2819791943338564,"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."}}