{"id":"W27377570","doi":"10.1002/adhm.201600445","title":"Plenary lecture III: opposition-based computation","year":2008,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Opposition (politics); Computation; Computer science; Dialectic; Artificial intelligence; Algorithm; Epistemology; Political science; Philosophy; Law","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":[0.002644192,0.002156101,0.001426424,0.00119884,0.0006201232,0.002822077,0.001107419,0.001896093,0.03390021],"category_scores_gemma":[0.006476136,0.0004157455,0.001268467,0.0009023362,0.001108938,0.00250804,0.002022662,0.006047387,0.02836625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001896301,"about_ca_system_score_gemma":0.0009104069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001105269,"about_ca_topic_score_gemma":0.0005303609,"domain_scores_codex":[0.9986469,0.0002471792,0.00007608687,0.0003945532,0.0004819706,0.0001533245],"domain_scores_gemma":[0.9981212,0.0006824846,0.00003952465,0.0001273535,0.0006463098,0.0003831089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003668419,0.0002091572,0.0003016998,0.0005818328,0.0001034847,0.0001886922,0.0001465616,0.007606489,0.002844041,0.06019898,0.7224284,0.2050239],"study_design_scores_gemma":[0.0001632348,0.0003998587,0.001190557,0.0006334494,0.00009732314,0.0004535152,0.0000943148,0.03353135,0.005217674,0.129385,0.8286978,0.0001357576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.007200269,0.07980593,0.3585351,0.08289876,0.2525281,0.0003767688,0.001971688,0.002723503,0.2139599],"genre_scores_gemma":[0.1115769,0.05488383,0.1208457,0.01713977,0.23283,0.0008881995,0.003852385,0.00366382,0.4543195],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03390021,"threshold_uncertainty_score":0.1134075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02378875268068276,"score_gpt":0.2793636435411475,"score_spread":0.2555748908604648,"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."}}