{"id":"W2355781315","doi":"","title":"Probation on Yied Cormponent and Seed Production Technology of Hybrid Rice","year":2010,"lang":"en","type":"article","venue":"Seed","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Rice plant; Production (economics); Agronomy; Biology; Economics","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":[0.0002109961,0.0001878194,0.0001036544,0.0003174894,0.0002438647,0.0003336014,0.0002376786,0.0001852876,0.001314876],"category_scores_gemma":[0.0001605928,0.0001243921,0.0001290048,0.00020602,0.0001908949,0.0002535018,0.000254534,0.0003500002,0.0003022954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000331877,"about_ca_system_score_gemma":0.0002606266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001447608,"about_ca_topic_score_gemma":0.002211403,"domain_scores_codex":[0.9999183,0.00001098568,0.000004374445,0.00002307846,0.00003042049,0.0000127241],"domain_scores_gemma":[0.999909,0.00002884767,0.00001188193,0.000008701109,0.00002287611,0.00001862269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007520064,0.00002870211,0.001495756,0.00003591074,0.000003043817,0.0001122273,0.0000531949,0.0003928971,0.9897174,0.001378029,0.0000726932,0.006634981],"study_design_scores_gemma":[0.00001963968,0.0002450519,0.008676996,0.000006653162,0.00002435622,0.0002170207,0.0001052202,0.01178795,0.9738358,0.0005120584,0.004559925,0.000009322276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961142,0.0005776704,0.03042679,0.0001653258,0.00003614319,0.00002747956,0.0001011913,0.0001264189,0.007397023],"genre_scores_gemma":[0.979486,0.0003657069,0.009217991,0.00003622964,0.00000932323,0.00002439542,0.0001655535,0.0000300358,0.01066491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001447608,"threshold_uncertainty_score":0.004398704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129925343031779,"score_gpt":0.2019946240738404,"score_spread":0.1906953706435227,"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."}}