{"id":"W4391219397","doi":"10.1007/978-981-99-5329-5_29","title":"Probability, Surprisal, and Information","year":2023,"lang":"en","type":"book-chapter","venue":"Behaviormetrics","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Psychology; Artificial intelligence","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":[0.002344663,0.001418325,0.00113463,0.002509024,0.0009239888,0.005543392,0.001435266,0.001935516,0.01298532],"category_scores_gemma":[0.01407209,0.0007244208,0.0005582703,0.004409883,0.005821268,0.008149265,0.001211631,0.003974062,0.002405297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002216902,"about_ca_system_score_gemma":0.0009976384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001749894,"about_ca_topic_score_gemma":0.002095735,"domain_scores_codex":[0.9981542,0.0007987696,0.00008047062,0.0002807466,0.0006334977,0.00005229332],"domain_scores_gemma":[0.9928885,0.0058623,0.0003232927,0.0004461979,0.0003674158,0.0001123229],"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":[0.00001240524,0.00001979689,0.000231289,0.0001550782,0.00001909723,0.00002572194,0.0001727261,0.002103906,0.0001530912,0.9039183,0.01802241,0.07516611],"study_design_scores_gemma":[0.000001339432,0.000005634494,0.0002112486,0.00005474846,0.000006325771,0.00005286945,0.00004532353,0.003900134,0.00009908712,0.9716914,0.02392179,0.00001009152],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006887564,0.1194846,0.4943182,0.02268559,0.002275083,0.0000839776,0.0009015244,0.0009027572,0.3524606],"genre_scores_gemma":[0.4170474,0.1142285,0.2734525,0.005009344,0.008332019,0.0005818174,0.001321313,0.00107871,0.1789485],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01298532,"threshold_uncertainty_score":0.04344022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09864311833210673,"score_gpt":0.2652993337396747,"score_spread":0.166656215407568,"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."}}