{"id":"W2886133984","doi":"10.1007/978-3-319-91149-6_6","title":"Local Reasons and Dialogues for Immanent Reasoning","year":2018,"lang":"en","type":"book-chapter","venue":"Logic, argumentation & reasoning","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Dialogical self; Epistemology; Object (grammar); Proposition; Constructive; Computer science; Philosophy; Artificial intelligence; Process (computing)","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"],"consensus_categories":[],"category_scores_codex":[0.0007823991,0.0005848507,0.0006273488,0.0002091757,0.0005429443,0.0005935612,0.0006342203,0.0004351739,0.00009449534],"category_scores_gemma":[0.0001186661,0.0005351502,0.0002285311,0.00007902243,0.0002645576,0.0004837934,0.000342067,0.0002834475,0.0001639499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000212481,"about_ca_system_score_gemma":0.0001083133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009520838,"about_ca_topic_score_gemma":0.00007636225,"domain_scores_codex":[0.9970226,0.00007366821,0.0006181062,0.001181329,0.0005001235,0.0006042169],"domain_scores_gemma":[0.997839,0.0002666662,0.0007163546,0.0006559096,0.00028078,0.0002413227],"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":[0.00002469882,0.0000204045,0.00009054014,0.00008644817,0.0001141505,0.00002313978,0.001497181,0.000009602139,0.00002219676,0.9492932,0.002576545,0.04624192],"study_design_scores_gemma":[0.001959034,0.001339847,0.0003133478,0.000447657,0.0002860166,0.0002873404,0.0005570892,0.009304166,0.0003673599,0.5222532,0.4609193,0.001965668],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00007936434,0.002032029,0.8541811,0.0002365078,0.001263553,0.001233913,0.00001496574,0.0004688901,0.1404897],"genre_scores_gemma":[0.4235146,0.001380613,0.2078025,0.001648409,0.003316453,0.0008245217,0.001298344,0.0003567704,0.3598578],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6463786,"threshold_uncertainty_score":0.99971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03293672090798914,"score_gpt":0.2652997876633557,"score_spread":0.2323630667553665,"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."}}