{"id":"W1987049148","doi":"10.1016/j.econlet.2004.05.002","title":"The K-deformed multinomial logit model","year":2004,"lang":"en","type":"article","venue":"Economics Letters","topic":"Statistical Mechanics and Entropy","field":"Physics and Astronomy","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Multinomial logistic regression; Econometrics; Multinomial distribution; Multinomial probit; Mixed logit; Focus (optics); Logistic regression; Logit; Mathematics; Economics; Statistics","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":[0.005396947,0.0007288963,0.002601476,0.00147745,0.001240532,0.003683896,0.003897371,0.003428921,0.01605331],"category_scores_gemma":[0.02491745,0.0008846624,0.001177822,0.001889874,0.003736879,0.007977037,0.002551115,0.003225055,0.003383242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001932609,"about_ca_system_score_gemma":0.001420049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009275039,"about_ca_topic_score_gemma":0.006152555,"domain_scores_codex":[0.9969638,0.001821767,0.0001269765,0.0005203516,0.0002414285,0.0003257177],"domain_scores_gemma":[0.9842406,0.01119188,0.001114771,0.001697622,0.001048635,0.0007065557],"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":[0.0002908857,0.0001026584,0.003760918,0.0001214615,0.0001113262,0.0006371884,0.0003897362,0.1167415,0.0003888686,0.8529009,0.005791056,0.01876347],"study_design_scores_gemma":[0.00003934743,0.00001942163,0.0008589077,0.00002271398,0.00002276277,0.000220337,0.00007780493,0.3968144,0.00007143398,0.6006168,0.001185062,0.00005113815],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2738992,0.002026593,0.6691123,0.01883909,0.000499779,0.0001632186,0.003479581,0.0009707966,0.03100949],"genre_scores_gemma":[0.9405035,0.0009742958,0.01949239,0.0006108182,0.0003006475,0.0001162367,0.000745494,0.000108619,0.037148],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01605331,"threshold_uncertainty_score":0.05370373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008523961662727491,"score_gpt":0.2047034982918217,"score_spread":0.1961795366290942,"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."}}