{"id":"W7124134446","doi":"10.65109/bnwt6293","title":"Representing and reasoning about communicative conditional commitments","year":2013,"lang":"","type":"article","venue":"","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Formalism (music); Semantics (computer science); Set (abstract data type); Representation (politics); Frame (networking); Natural language","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007372121,0.0004179646,0.0004801273,0.0001279304,0.001306938,0.001356706,0.001597161,0.0001914133,0.001810118],"category_scores_gemma":[0.0003805865,0.0003758061,0.0001364139,0.0004019534,0.0007094768,0.001688984,0.003004066,0.0005583944,0.001082497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008674535,"about_ca_system_score_gemma":0.0001181217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001008726,"about_ca_topic_score_gemma":0.00005093726,"domain_scores_codex":[0.9966633,0.0005546093,0.0006368469,0.0009090349,0.0004480934,0.0007881424],"domain_scores_gemma":[0.9963758,0.0007681086,0.0004235464,0.001482714,0.0005271787,0.0004226743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001114578,0.0006410252,0.2198752,0.00008740411,0.0003837083,0.00002389466,0.01892367,0.00002842029,0.0001581193,0.6637672,0.02710007,0.06900011],"study_design_scores_gemma":[0.002162915,0.0002310461,0.5352931,0.0004680805,0.00006738821,0.0001640874,0.001716949,0.392384,0.0004892134,0.0569175,0.008924588,0.001181203],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1498079,0.009944059,0.1399955,0.003727948,0.00130242,0.0017999,0.00001609008,0.0004442474,0.6929619],"genre_scores_gemma":[0.9660971,0.0005144065,0.02477844,0.0007149779,0.0001840808,0.00008742746,0.00002353601,0.00002121419,0.007578846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8162891,"threshold_uncertainty_score":0.9999932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02273046972353355,"score_gpt":0.2693787596346302,"score_spread":0.2466482899110967,"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."}}