{"id":"W4237324981","doi":"10.1007/978-1-4613-0175-2_1","title":"Introduction","year":2001,"lang":"en","type":"book-chapter","venue":"Lecture notes in statistics","topic":"Census and Population Estimation","field":"Mathematics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000135435,0.0002693092,0.0003400579,0.0001667406,0.00004835789,0.00002398101,0.00007868132,0.0003617864,0.002740402],"category_scores_gemma":[0.0009038082,0.0002686639,0.00004440042,0.00004678173,0.00004505784,0.00003039082,0.00002247466,0.0004605752,0.0001029101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001631749,"about_ca_system_score_gemma":0.00003601746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001501649,"about_ca_topic_score_gemma":0.0003979236,"domain_scores_codex":[0.998811,0.00001807721,0.0004563773,0.000280956,0.000263765,0.0001698281],"domain_scores_gemma":[0.9986324,0.0006015965,0.0002772061,0.0003264936,0.000123954,0.00003835739],"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":[0.0000145089,0.00001588773,0.00006809471,0.0001247525,0.00001875752,0.00002452497,0.0001267944,0.0007424554,0.000002717697,0.888594,0.01952948,0.09073798],"study_design_scores_gemma":[0.0001212233,0.00002322323,0.00006142461,0.00005739845,0.00005031872,0.00002038737,2.673702e-7,0.001527458,0.00000712356,0.7756047,0.2223111,0.0002154103],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001377747,0.0001248098,0.9220718,0.0006211693,0.0006849606,0.0002764538,0.0002820001,0.00007356401,0.07585147],"genre_scores_gemma":[0.009044648,0.0004994511,0.808046,0.000442768,0.007146678,0.00002126582,0.00348887,0.0003599542,0.1709503],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2027816,"threshold_uncertainty_score":0.9999766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04269442971067006,"score_gpt":0.3199000194421774,"score_spread":0.2772055897315074,"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."}}