{"id":"W2325563383","doi":"10.1145/2297456.2297460","title":"The Latent Maximum Entropy Principle","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Knowledge Discovery from Data","topic":"Statistical Mechanics and Entropy","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Principle of maximum entropy; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001528767,0.00018535,0.0001521948,0.00002394457,0.0004349946,0.0001737415,0.001028811,0.00003480863,0.0009448302],"category_scores_gemma":[0.00002027352,0.0001285593,0.00008548411,0.0001129739,0.00005098597,0.0005700155,0.00009299676,0.0002407856,0.0008741162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000332476,"about_ca_system_score_gemma":0.00004296779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001693797,"about_ca_topic_score_gemma":0.00001424297,"domain_scores_codex":[0.9987931,0.00006058747,0.0002278566,0.0003176842,0.0001569935,0.0004437474],"domain_scores_gemma":[0.9974007,0.0004812649,0.00005324579,0.001884763,0.00002739722,0.0001526564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001823301,0.002312027,0.005740006,0.00001127564,0.0007423863,0.000001424076,0.0003832528,0.00004099327,0.0005643795,0.5820554,0.009639564,0.398327],"study_design_scores_gemma":[0.002410419,0.0001828995,0.01186143,0.0000974979,0.0006741635,0.000001748065,0.0008698421,0.01735332,0.007239579,0.1686675,0.7894835,0.001158092],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02055435,0.0003623116,0.9673218,0.0003781989,0.002093089,0.0002324222,0.007676215,0.00003956582,0.001342109],"genre_scores_gemma":[0.9953382,0.00004806185,0.001588501,0.00003395521,0.0005593525,0.0000456838,0.0009954231,0.00002862757,0.001362206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9747838,"threshold_uncertainty_score":0.9999685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04418102761629817,"score_gpt":0.3089701903070841,"score_spread":0.2647891626907859,"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."}}