{"id":"W131830864","doi":"10.1007/978-1-4613-0175-2_5","title":"The Various Tables","year":2001,"lang":"en","type":"book-chapter","venue":"Lecture notes in statistics","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Computer science","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":[0.000900924,0.0002708717,0.0003375129,0.000146106,0.0003086191,0.0003226121,0.001003998,0.0003152497,0.0006269382],"category_scores_gemma":[0.003827869,0.0001656033,0.00007210011,0.0001774896,0.0003012127,0.00002325143,0.0001782399,0.0006442881,0.0002362225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007779716,"about_ca_system_score_gemma":0.000108991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008431637,"about_ca_topic_score_gemma":0.001626017,"domain_scores_codex":[0.9976518,0.00003341984,0.0007042945,0.0004688997,0.0008534957,0.0002880828],"domain_scores_gemma":[0.9900531,0.008222383,0.0003950349,0.0009806238,0.0002896325,0.00005924901],"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":[0.000005100747,0.000005348051,0.00003166107,0.000002175351,0.000006213518,0.00002194015,0.00004230228,0.0002837353,9.732457e-7,0.5577362,0.03356276,0.4083017],"study_design_scores_gemma":[0.000025253,0.0000188458,0.00001333457,0.00001828057,0.000007536575,0.00001128293,7.483383e-7,0.001185686,0.000003782216,0.5218421,0.4767676,0.0001055133],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000001304871,0.0005643722,0.7827913,0.0006825795,0.0001903054,0.0002508563,0.0006477947,0.0000536251,0.2148178],"genre_scores_gemma":[0.01303579,0.002546079,0.5086957,0.001491273,0.0009127853,0.000111261,0.0003429816,0.0002230127,0.4726411],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4432048,"threshold_uncertainty_score":0.6864534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08763052945530098,"score_gpt":0.3706667108680038,"score_spread":0.2830361814127029,"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."}}