{"id":"W2385395265","doi":"","title":"Analysis on Curl Characteristics and Hereditary of Rice Leaf","year":2011,"lang":"en","type":"article","venue":"Seed","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Backcrossing; Biology; Trait; Degree (music); Rice plant; Horticulture; Botany; Agronomy; Gene; Physics; Genetics","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":[0.0000823273,0.00005317585,0.0001295995,0.00007317267,0.00003240872,0.000006461362,0.00004297365,0.00003024186,0.0001647756],"category_scores_gemma":[0.00001629614,0.00003820106,0.00003349148,0.0001649798,0.00003338431,0.00003082283,0.000002510624,0.00004789364,0.00003460799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":4.350436e-7,"about_ca_system_score_gemma":0.000006098006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003213686,"about_ca_topic_score_gemma":0.0003691471,"domain_scores_codex":[0.9996129,0.00002489118,0.00009430179,0.0001023584,0.00007770269,0.00008779589],"domain_scores_gemma":[0.999739,0.00004005184,0.00004419249,0.0001099991,0.00001572882,0.00005102048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006587026,0.00001382007,0.9799271,0.00001029381,0.00009526893,0.00001816071,0.0005722289,0.00000977891,0.00003637247,0.000004198227,0.00003731392,0.01920963],"study_design_scores_gemma":[0.00007131734,0.00008731667,0.99524,0.000004954299,0.00008315707,0.000002784706,0.00006081149,0.00414487,0.00009192187,0.00004165668,0.0001191795,0.00005203596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832007,0.00006768788,0.00002310173,0.00002001607,0.0001129855,0.00002044466,0.000033287,0.00001188317,0.01650991],"genre_scores_gemma":[0.9993911,0.00002792596,0.0002394151,0.00007304994,0.00004591758,7.407875e-9,0.00004550839,0.000001080119,0.0001760198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01915759,"threshold_uncertainty_score":0.4858154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01915299074581229,"score_gpt":0.1976139207905573,"score_spread":0.178460930044745,"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."}}