{"id":"W1983604712","doi":"10.1080/02664760600679619","title":"Two-way analysis of variance for data from a concentrated bipolar Watson distribution","year":2006,"lang":"en","type":"article","venue":"Journal of Applied Statistics","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Simon Fraser University","keywords":"Watson; Variance (accounting); Distribution (mathematics); Statistics; Computer science; Mathematics; Algorithm; Econometrics; Artificial intelligence; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003642716,0.0001049775,0.0003352078,0.00003972215,0.00006580611,0.00003036323,0.0003124412,0.00003963849,0.0002342818],"category_scores_gemma":[0.00009584823,0.00009530511,0.00004397439,0.0003833394,0.000100638,0.00007652296,0.00008002792,0.00009393439,0.000005745502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000949662,"about_ca_system_score_gemma":0.00002855629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001001915,"about_ca_topic_score_gemma":0.0003751353,"domain_scores_codex":[0.9986926,0.00001838021,0.0005972561,0.0001788009,0.000330995,0.000182006],"domain_scores_gemma":[0.9985352,0.0003674843,0.0007073202,0.0002589279,0.00006555791,0.00006554037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001646367,0.001415255,0.06432099,0.0001111251,0.004000091,0.0001018633,0.0007422959,0.2363319,0.1304369,0.232194,0.226527,0.1021722],"study_design_scores_gemma":[0.002589153,0.0001584747,0.1977102,0.00002759706,0.003803895,0.000003356635,0.000174049,0.6933048,0.002743529,0.05162736,0.04746524,0.0003923058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03158925,0.00006728229,0.9513005,0.00002044647,0.0001015561,0.0001124474,0.01649923,0.000004116163,0.000305199],"genre_scores_gemma":[0.8097698,0.00004169154,0.186236,0.00002896168,0.00007591566,0.000001851221,0.003818579,0.000009018329,0.00001814816],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7781806,"threshold_uncertainty_score":0.388643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800048964258992,"score_gpt":0.2616770483557746,"score_spread":0.2436765587131847,"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."}}