{"id":"W2494261676","doi":"10.14195/978-989-26-0498-5_5","title":"Anticipating objections in argumentation","year":2009,"lang":"en","type":"book-chapter","venue":"Imprensa da Universidade de Coimbra eBooks","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Argumentation theory; Epistemology; Philosophy; Psychology","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":[0.0002058364,0.0003237361,0.0003315993,0.0006303004,0.0001754042,0.0002036425,0.0005350683,0.0003434288,0.00004075129],"category_scores_gemma":[0.00001160193,0.0003878987,0.000147969,0.0000615351,0.00004185327,0.0002928831,0.0001280212,0.0004117738,0.00006119595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004948492,"about_ca_system_score_gemma":0.0001992646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000260547,"about_ca_topic_score_gemma":0.0002098363,"domain_scores_codex":[0.9982492,0.00006351175,0.0004390158,0.0005576105,0.0003187318,0.0003719184],"domain_scores_gemma":[0.9987587,0.00008407914,0.0004134441,0.0005333028,0.0000840533,0.0001263888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003197655,0.00007521723,0.0002828837,0.0001472647,0.0001482239,0.0004694739,0.006894952,0.0005569965,0.009157942,0.7370229,0.001442821,0.2437694],"study_design_scores_gemma":[0.02264146,0.002871589,0.0669984,0.01014085,0.001055415,0.0009951565,0.002220992,0.2636898,0.02532995,0.1375013,0.4527433,0.01381171],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003238623,0.00007531475,0.05279589,0.0001925449,0.0005752823,0.0007222228,0.00003004193,0.0003187543,0.9420514],"genre_scores_gemma":[0.4242616,0.00002584178,0.006358547,0.0003923437,0.0002422982,0.000009993553,0.0000702979,0.00005983356,0.5685793],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5995215,"threshold_uncertainty_score":0.9998573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02625587158034182,"score_gpt":0.2521654032221416,"score_spread":0.2259095316417998,"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."}}