{"id":"W2105441753","doi":"10.3115/1118220.1118232","title":"What are the points?","year":2001,"lang":"en","type":"article","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Argumentative; Automatic summarization; Question answering; Computer science; Information retrieval; Dimension (graph theory); Reading (process); Heuristic; Core (optical fiber); Information extraction; Artificial intelligence; Linguistics; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001507713,0.00005158171,0.00004456095,0.00001468313,0.0000874828,0.0004501881,0.0006563277,0.00002095198,0.00004686909],"category_scores_gemma":[0.000009983208,0.00002902477,0.00002521883,0.0001630723,0.00002000339,0.0006170614,0.0001089676,0.00007164349,0.0003438546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005822492,"about_ca_system_score_gemma":0.00001338766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001273558,"about_ca_topic_score_gemma":0.00001259657,"domain_scores_codex":[0.9995054,0.00002467525,0.00006938019,0.000148059,0.0001150641,0.0001374325],"domain_scores_gemma":[0.9994563,0.00003536954,0.00002171461,0.0004115593,0.00003644924,0.0000386473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002213626,0.00004407606,0.001411885,0.00000219111,0.000009065177,0.00002833384,0.0006862276,0.0001274351,0.00008126461,0.7310179,0.01256719,0.2540222],"study_design_scores_gemma":[0.0003144271,0.0000784428,0.006524487,0.00009192085,0.000006183977,0.0002133954,0.001478011,0.6215739,0.001281496,0.2966633,0.07127962,0.0004947332],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006018932,0.0001734861,0.9545408,0.02906561,0.0003775177,0.00003055553,4.27865e-8,0.0001435462,0.009649475],"genre_scores_gemma":[0.9815074,0.0002182986,0.008210632,0.006395835,0.00005466612,0.000004071273,1.26299e-7,0.000002687805,0.003606346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9754884,"threshold_uncertainty_score":0.441967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03769803684490746,"score_gpt":0.2649474539257674,"score_spread":0.2272494170808599,"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."}}