{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001078439,0.00007048181,0.00008152255,0.000123764,0.0001017349,0.0001234723,0.0003612168,0.00002638107,0.00002019313],"category_scores_gemma":[0.00008407118,0.00006620851,0.00003137125,0.0003322196,0.00001018285,0.0003597856,0.00003361973,0.0007447616,0.00004589164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002950083,"about_ca_system_score_gemma":0.0008984513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005063066,"about_ca_topic_score_gemma":0.00003842685,"domain_scores_codex":[0.9983831,0.000125018,0.0001715944,0.0001334832,0.0001794702,0.001007334],"domain_scores_gemma":[0.9997163,0.0000143942,0.00007007101,0.0001187773,0.00002877509,0.00005165656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[9.742179e-7,0.00004236874,0.003115118,6.041924e-7,0.0000106894,0.000004609895,0.0002119091,0.0001907057,0.0001443813,0.9900325,0.000063006,0.00618312],"study_design_scores_gemma":[0.004967394,0.001167111,0.001166293,0.00008306648,0.00001700923,0.001610303,0.007694598,0.08455306,0.004456087,0.7415575,0.1515926,0.001134937],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03364794,0.001072713,0.9580433,0.0003312504,0.0002154504,0.0000479969,1.294812e-7,0.00006135468,0.006579838],"genre_scores_gemma":[0.9955781,0.0008398828,0.0008509921,0.0001641139,0.00002356075,9.070101e-7,9.779242e-7,0.000006370321,0.002535166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9619301,"threshold_uncertainty_score":0.323566,"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."}}