{"id":"W2543936216","doi":"10.1080/11956860.2003.11682773","title":"Assessment of patterns of temperature-dependent sex determination using maximum likelihood model selection","year":2003,"lang":"en","type":"article","venue":"Ecoscience","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incubation; Biology; Selection (genetic algorithm); Statistics; Maximum likelihood; Mathematics; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0005045368,0.00007303596,0.00009670784,0.00004462384,0.0001093846,0.000009024119,0.0001292222,0.00006153398,0.0002185137],"category_scores_gemma":[0.00003895297,0.00007211691,0.00002619448,0.0002169605,0.00006931872,0.0003161498,0.00003866721,0.00007586979,0.000003988327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001404449,"about_ca_system_score_gemma":0.00006707889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007600318,"about_ca_topic_score_gemma":0.0001879078,"domain_scores_codex":[0.9990819,0.00006777277,0.0002083352,0.000222786,0.000260606,0.0001585852],"domain_scores_gemma":[0.9996422,0.00002324553,0.0001602133,0.0001199496,0.00001938082,0.00003504378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001100158,0.00007851615,0.8181792,0.000005215944,0.000001194428,3.27003e-7,0.00006898743,0.02428418,0.1566487,0.0001310811,0.000006880919,0.0005946112],"study_design_scores_gemma":[0.0001437536,0.00006942232,0.7081385,0.00001009421,0.000008307137,0.000007386447,0.00004928583,0.2374108,0.05266805,0.001398709,0.000006554716,0.00008915422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9558076,0.000001864563,0.04238818,0.00002074323,0.00008671982,0.0001157955,0.00000346762,0.000008923882,0.001566727],"genre_scores_gemma":[0.9893064,0.000003649533,0.01048558,0.00008294617,0.000003980579,0.000006325736,9.455102e-7,0.000004086563,0.0001060693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2131266,"threshold_uncertainty_score":0.2940843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299799377097226,"score_gpt":0.2569087449276517,"score_spread":0.2439107511566794,"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."}}