{"id":"W575305472","doi":"","title":"A Quarter Century after the Monitor Model","year":2003,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Computer science; History; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002795696,0.0001835701,0.0001426068,0.00004868351,0.0005075487,0.0001017226,0.0001389882,0.00007475937,0.00007310917],"category_scores_gemma":[0.000496251,0.0001308288,0.00008744654,0.0001612945,0.0001450393,0.0005273112,0.00004313278,0.0001792067,0.00004800926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001263924,"about_ca_system_score_gemma":0.000172725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004282696,"about_ca_topic_score_gemma":0.00002319126,"domain_scores_codex":[0.998544,0.00008013045,0.0003897299,0.0002559981,0.0005064833,0.0002236391],"domain_scores_gemma":[0.9988636,0.0001752453,0.0001265029,0.0005575828,0.0001908968,0.00008611401],"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":[0.0001111573,0.0001755018,0.004024913,0.00007198947,0.00004563554,0.00003958726,0.000565056,0.001263321,0.0004734253,0.9792055,0.01386028,0.0001636246],"study_design_scores_gemma":[0.002746446,0.0001288163,0.01743451,0.0007201898,0.0005097566,0.001420303,0.0006974605,0.07240511,0.006873848,0.2091737,0.6858615,0.002028351],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7554139,0.001012116,0.2029419,0.001966232,0.007602339,0.001314606,0.00111925,0.0004219816,0.0282077],"genre_scores_gemma":[0.9803933,0.00001368973,0.01818713,0.0001523211,0.0005952719,0.0001077862,0.0001486007,0.00001620218,0.0003857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7700318,"threshold_uncertainty_score":0.5335044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03559227293435967,"score_gpt":0.3027788226326088,"score_spread":0.2671865496982491,"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."}}