{"id":"W3091708896","doi":"10.1111/1365-2656.13360","title":"Collision between biological process and statistical analysis revealed by mean centring","year":2020,"lang":"en","type":"article","venue":"Journal of Animal Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Université du Québec à Montréal","funders":"Volkswagen Foundation; Deutsche Forschungsgemeinschaft","keywords":"Covariate; Centring; Statistics; Estimating equations; Mathematics; Range (aeronautics); Variance (accounting); Econometrics; Computer science; Estimator","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":[],"consensus_categories":[],"category_scores_codex":[0.0002847357,0.00007648852,0.0003419266,0.00003512914,0.0001114256,0.000008453023,0.0001065238,0.0000888505,0.000395159],"category_scores_gemma":[0.0002699394,0.00005836982,0.0000465174,0.0002329147,0.000206877,0.00008030373,0.00009283969,0.0001829733,0.00001605692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004447221,"about_ca_system_score_gemma":0.000009616735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002958652,"about_ca_topic_score_gemma":0.00004491599,"domain_scores_codex":[0.9991412,0.0001098078,0.0003352965,0.0001517429,0.0001017549,0.0001602423],"domain_scores_gemma":[0.9992695,0.0003114037,0.0002294958,0.0000256219,0.00002380451,0.0001401794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001242435,0.00003164636,0.9976448,0.00000416637,0.00015653,0.00002504209,0.0003068967,0.0002287377,0.0006501909,0.00007987744,0.0006200035,0.000127799],"study_design_scores_gemma":[0.0003348986,0.0013687,0.9957053,0.0000011526,0.0001942301,0.00001002593,0.0001659526,0.001581269,0.00003913684,0.0003690692,0.0001658737,0.00006437695],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955593,0.00004519564,0.00188175,0.002207467,0.0000198083,0.00005249147,0.00001461472,0.000005061677,0.0002143648],"genre_scores_gemma":[0.9983148,0.00007997767,0.001162632,0.0003915032,0.00003574937,8.969875e-7,0.00000377684,0.000002822238,0.000007829157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002755567,"threshold_uncertainty_score":0.4326714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0174649418021819,"score_gpt":0.2744008937037799,"score_spread":0.256935951901598,"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."}}