{"id":"W4245159300","doi":"10.3233/sju-2002-19301","title":"Introduction","year":2002,"lang":"en","type":"article","venue":"Statistical Journal of the United Nations Economic Commission for Europe","topic":"","field":"","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000583774,0.0001198454,0.0001797857,0.001514407,0.0003933936,0.00007041417,0.000458558,0.00003562549,0.003044529],"category_scores_gemma":[0.003711892,0.00008272536,0.0001074673,0.00112863,0.0001287361,0.0001758711,0.00006758367,0.0002840523,0.0007440807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001886129,"about_ca_system_score_gemma":0.0000540316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004465413,"about_ca_topic_score_gemma":0.000005047995,"domain_scores_codex":[0.9986316,0.0002540656,0.0006678062,0.0001221416,0.0001594298,0.0001649554],"domain_scores_gemma":[0.9977596,0.0008205737,0.0005148374,0.0002738035,0.0004763705,0.0001548057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006057887,0.0001004442,0.00003412406,0.000004957444,0.00004131675,0.00000129237,0.00005145083,0.003369428,0.0005934188,0.2582397,0.7357247,0.001778536],"study_design_scores_gemma":[0.000822677,0.000123497,0.0004957992,0.00001985775,0.00007943738,0.0001430265,0.00002608152,0.02930459,0.000301167,0.003625333,0.9649639,0.00009460466],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06434839,0.0005921794,0.3253886,0.2539252,0.02063863,0.003324149,0.006738747,0.0004446906,0.3245994],"genre_scores_gemma":[0.8648646,0.000234981,0.05435479,0.0002707439,0.004253673,0.00001482689,0.0001128765,0.00029859,0.07559492],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8005162,"threshold_uncertainty_score":0.9978668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03529040755095664,"score_gpt":0.2805755585655448,"score_spread":0.2452851510145881,"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."}}