{"id":"W7134274179","doi":"10.26181/14274797","title":"Phenology and related traits for wheat adaptation","year":2020,"lang":"","type":"article","venue":"La Trobe University","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phenology; Abiotic component; Adaptation (eye); Cultivar; Agriculture; Crop; Range (aeronautics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008102152,0.0001323301,0.0002035868,0.00001136006,0.0003057602,0.00002421385,0.0001363995,0.0002757252,0.0002729802],"category_scores_gemma":[0.00002185415,0.00007646761,0.00009115438,0.0001777611,0.0001822131,0.00006786496,0.00006822207,0.0001239618,0.00001071176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001070782,"about_ca_system_score_gemma":0.0000124499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005195344,"about_ca_topic_score_gemma":0.0001250569,"domain_scores_codex":[0.9990986,0.0001461655,0.000114515,0.0003605953,0.00005028975,0.0002298581],"domain_scores_gemma":[0.9995507,0.0001557332,0.00005872239,0.0000222268,0.00004677052,0.0001658427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001753446,0.0002847789,0.002464203,0.0001241533,0.0001987005,0.0001611456,0.01230019,0.0002227255,0.404596,0.07347317,0.004283121,0.5001384],"study_design_scores_gemma":[0.007044065,0.01034175,0.1788424,0.00006135865,0.0007791448,0.0001061226,0.01700902,0.02664997,0.00182848,0.007970339,0.7478834,0.001483865],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764458,0.0006557592,0.0004150996,0.01663503,0.0001468908,0.0002940296,0.0001560369,0.00003577253,0.005215607],"genre_scores_gemma":[0.9971737,0.0006791935,0.0003946463,0.0002819154,0.0001254072,3.059899e-7,0.00004152723,0.000001178772,0.001302181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7436003,"threshold_uncertainty_score":0.3118258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02566278903358645,"score_gpt":0.1847832998677596,"score_spread":0.1591205108341731,"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."}}