{"id":"W4361269086","doi":"10.1111/1365-2435.14329","title":"Experimental designs for testing the interactive effects of temperature and light in ecology: The problem of periodicity","year":2023,"lang":"en","type":"article","venue":"Functional Ecology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western Forest Products; University of British Columbia","funders":"","keywords":"Phenology; Biology; Inference; photoperiodism; Ecology; Forcing (mathematics); Sensory cue; Predictability; Statistics; Computer science; Atmospheric sciences; Artificial intelligence; Mathematics","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":[0.0001934119,0.00005791165,0.00009708365,0.00002006355,0.0001247509,0.000004735582,0.00007145829,0.00005308145,0.001274627],"category_scores_gemma":[0.0001384259,0.00003481381,0.00002553411,0.0001907887,0.0002290843,0.00003856762,0.0001021654,0.00007783906,0.00002075581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001240269,"about_ca_system_score_gemma":0.0000126117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002828542,"about_ca_topic_score_gemma":0.0003274288,"domain_scores_codex":[0.9995065,0.00006432286,0.0001171479,0.0001235477,0.00006390265,0.000124562],"domain_scores_gemma":[0.9988996,0.0009501597,0.00006791338,0.00005371227,0.00001410054,0.00001451251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002059365,0.000251763,0.3213666,0.00004529916,0.00003171608,0.000003008425,0.002462028,0.000255008,0.6583942,0.001642947,0.01506824,0.0002733215],"study_design_scores_gemma":[0.0003744416,0.0003164046,0.9703972,0.000004948949,0.000006452061,0.000006983857,0.003169249,0.0001321173,0.02440225,0.0002280836,0.0009250829,0.00003674336],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975163,0.00002042048,0.000004501668,0.001080365,0.0001422866,0.0004088481,0.0000177725,0.000008687783,0.0008008422],"genre_scores_gemma":[0.999393,0.000003058242,0.00003413641,0.0002085048,0.00001613592,0.0002296052,0.00001454075,0.000003334693,0.00009764608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6490307,"threshold_uncertainty_score":0.9996383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03400192657454091,"score_gpt":0.2563980280228406,"score_spread":0.2223961014482997,"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."}}