{"id":"W4252443822","doi":"10.1198/004017004000000374","title":"Scale Counting","year":2004,"lang":"en","type":"article","venue":"Technometrics","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scale (ratio); Statistics; Mathematics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001438773,0.00007389031,0.0001229923,0.001042899,0.0001703591,0.0001541009,0.0008200019,0.00007335963,0.00007710502],"category_scores_gemma":[0.002496955,0.00004972078,0.00006100059,0.009551843,0.0000834719,0.0001194717,0.0001688817,0.0001285423,0.000541958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000786034,"about_ca_system_score_gemma":0.00003362409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003221592,"about_ca_topic_score_gemma":0.000006270314,"domain_scores_codex":[0.9984336,0.000004742968,0.0003322979,0.0002818267,0.0007634616,0.0001839942],"domain_scores_gemma":[0.9987581,0.0002221832,0.000137858,0.0006259081,0.0002017107,0.0000542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002037005,0.0001576538,0.01522302,0.000003264309,0.000003070943,0.000003530216,0.00009047399,0.0001978912,0.001227284,0.1196668,0.01025408,0.8531709],"study_design_scores_gemma":[0.000176194,0.00005029238,0.004475372,0.00001062544,0.000004326936,0.00001530994,0.0001437692,0.0003829254,0.01182187,0.7673178,0.2154134,0.0001880799],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4568011,0.0001142882,0.5019425,0.002642113,0.0001061533,0.000259892,0.00001698714,0.001128349,0.03698864],"genre_scores_gemma":[0.9011835,0.000008492961,0.09807248,0.0001074124,0.00003154821,0.00001805139,0.000001271801,0.000008707412,0.0005684744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8529828,"threshold_uncertainty_score":0.6965955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1687207083646495,"score_gpt":0.4074914508798365,"score_spread":0.238770742515187,"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."}}