{"id":"W2312433172","doi":"10.1177/154193120304701509","title":"Improving Human Scaling Reliability","year":2003,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Color perception and design","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Scaling; Reliability (semiconductor); Computer science; Scale (ratio); Field (mathematics); Domain (mathematical analysis); Mathematics; Physics; Power (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04936432,0.001726713,0.001426835,0.003407514,0.001223018,0.002750688,0.001099406,0.001140929,0.003552921],"category_scores_gemma":[0.2415696,0.0007658851,0.00111915,0.002750978,0.001678286,0.002945433,0.004169916,0.001545727,0.002058392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006134271,"about_ca_system_score_gemma":0.001229046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001513332,"about_ca_topic_score_gemma":0.001300881,"domain_scores_codex":[0.9509272,0.02868718,0.002984003,0.005302993,0.01146609,0.0006326652],"domain_scores_gemma":[0.7615218,0.1222152,0.008370898,0.05212048,0.05489887,0.0008728516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007735721,0.0003373869,0.06216398,0.001562006,0.000691641,0.000225872,0.007200751,0.01828334,0.02717909,0.02465634,0.01521729,0.8417087],"study_design_scores_gemma":[0.0006180877,0.003360897,0.3185969,0.001929213,0.001579892,0.0021614,0.004508954,0.3524273,0.05968389,0.1295516,0.1246499,0.0009320074],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0776384,0.001702741,0.9045984,0.0005237932,0.0006782455,0.0005900663,0.0002625667,0.001736973,0.01226873],"genre_scores_gemma":[0.6481076,0.0008548486,0.3455787,0.0003724101,0.0003694181,0.001138904,0.00057788,0.001069912,0.001930446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04936432,"threshold_uncertainty_score":0.2610666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458104168061697,"score_gpt":0.2756107436734944,"score_spread":0.2510297019928774,"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."}}