{"id":"W4235211641","doi":"10.1093/condor/106.2.440","title":"Estimating Trends With a Linear Model: Reply to Sauer et al","year":2004,"lang":"en","type":"article","venue":"Ornithological Applications","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Mathematics; Covariate; Statistics; Econometrics; Observer (physics); Applied mathematics; Humanities; Weighting; Philosophy; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001888627,0.0001115632,0.0001281549,0.00003609231,0.0002038389,0.00001308859,0.0001934627,0.00005221365,0.0006760524],"category_scores_gemma":[0.00002272193,0.00007661434,0.00004369438,0.000604122,0.0001686845,0.00007513474,0.0001114678,0.0001638228,0.001401864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004706325,"about_ca_system_score_gemma":0.000007660937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001430111,"about_ca_topic_score_gemma":0.00005870807,"domain_scores_codex":[0.9990584,0.00002453402,0.0001471914,0.0004064529,0.0001557185,0.000207761],"domain_scores_gemma":[0.9994707,0.00002961719,0.00004353209,0.0003215453,0.000007693508,0.000126982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001349254,0.000172646,0.01315291,4.650252e-7,0.000008274129,0.000007269911,0.0001361659,0.9790717,0.0007089563,0.0007752586,0.001861977,0.004090863],"study_design_scores_gemma":[0.002857067,0.00134758,0.2118847,0.00003222356,0.0003897034,0.000417209,0.0001272495,0.1723024,0.001575119,0.08230841,0.5244699,0.002288397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1855385,0.000002643994,0.755711,0.03349897,0.000003865522,0.000141971,0.00000772425,0.0001311077,0.02496427],"genre_scores_gemma":[0.6304779,8.310253e-7,0.3439339,0.0246781,0.00001173468,0.0003095473,0.00001777726,0.000007405043,0.0005627971],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8067693,"threshold_uncertainty_score":0.9993756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697556865630281,"score_gpt":0.2883233438251829,"score_spread":0.2713477751688801,"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."}}