{"id":"W2386446707","doi":"","title":"Statistical Analysis of Main Characteristics and Yield of Early Hybrid Rice in Fujian Province","year":2008,"lang":"en","type":"article","venue":"Seed","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Statistical analysis; Statistics; Geography; Mathematics; Physics; Thermodynamics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009757887,0.0002913142,0.0003521719,0.001224187,0.0006343893,0.0003511512,0.0004280246,0.0001734226,0.0009492488],"category_scores_gemma":[0.001956816,0.0001676794,0.0006196589,0.001637286,0.000482746,0.0001931308,0.0002870448,0.000339789,0.00006793733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326622,"about_ca_system_score_gemma":0.001372703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07944242,"about_ca_topic_score_gemma":0.08454845,"domain_scores_codex":[0.9992881,0.0001439467,0.00005924878,0.0002574865,0.0001180226,0.0001332293],"domain_scores_gemma":[0.9981794,0.0007614284,0.0003209352,0.0001843413,0.0002641122,0.0002897034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006158018,0.00004069081,0.9868959,0.00002000527,0.0002804391,0.000197357,0.0004371305,0.0006376762,0.004905285,0.000124027,0.0001663314,0.005679309],"study_design_scores_gemma":[0.000002795945,0.00003487568,0.9991542,7.326277e-7,0.00002249384,0.0000307214,0.0001525434,0.0003375515,0.000172721,0.00001827863,0.00007066432,0.000002442793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993149,0.00004565176,0.0001988453,0.000008063372,0.000001424633,0.000003534674,0.0002595161,0.000005743692,0.0001622018],"genre_scores_gemma":[0.9993594,0.00001215925,0.0001306719,0.000002457604,0.000001396355,0.000005483078,0.0002850142,0.000002543718,0.0002008836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07944242,"threshold_uncertainty_score":0.15796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225039910558434,"score_gpt":0.2185328764512985,"score_spread":0.196028885395455,"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."}}