{"id":"W1547564544","doi":"10.3233/fi-2013-907","title":"Lattice Machine Classification based on Contextual Probability","year":2013,"lang":"en","type":"article","venue":"Fundamenta Informaticae","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Lattice (music); Computer science; Artificial intelligence; Pattern recognition (psychology); Mathematics; Machine learning; Physics","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":[0.003853417,0.0007130413,0.001850234,0.002976688,0.001017974,0.002756158,0.002043789,0.001632157,0.002526228],"category_scores_gemma":[0.02166263,0.0004280095,0.001176487,0.00293418,0.002409714,0.005722401,0.002279399,0.002268851,0.0009923313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481041,"about_ca_system_score_gemma":0.00123498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002366776,"about_ca_topic_score_gemma":0.001777612,"domain_scores_codex":[0.9955595,0.001481017,0.0002856889,0.0006976487,0.001708917,0.0002673672],"domain_scores_gemma":[0.9931133,0.004574339,0.0004823213,0.0006620839,0.0009758333,0.0001919963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000218096,0.0000820068,0.006206667,0.0003894539,0.0001105077,0.000311294,0.0003290872,0.168896,0.002656744,0.3817827,0.006096458,0.4329211],"study_design_scores_gemma":[0.00001659195,0.00004156912,0.000525811,0.00006220442,0.00001988467,0.0001783466,0.00005091189,0.7620168,0.0009921875,0.231379,0.004684242,0.00003242999],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008120249,0.000944234,0.9882697,0.0003977346,0.00009373046,0.00004250664,0.0001010298,0.0003290555,0.001701645],"genre_scores_gemma":[0.3818084,0.002075113,0.6118419,0.0003506631,0.000630105,0.0003811523,0.000606999,0.000133496,0.002172236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003853417,"threshold_uncertainty_score":0.02037901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04768432713206656,"score_gpt":0.2612606609689804,"score_spread":0.2135763338369139,"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."}}