{"id":"W2349436935","doi":"","title":"Seed Production Technology of Hybrid Rice nei-5-you-317 with High Yield and Quality and Diease-resistance","year":2011,"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":"Yield (engineering); Production (economics); Quality (philosophy); Resistance (ecology); Agronomy; Biotechnology; Horticulture; Biology; Materials science; Physics; Economics; Composite material","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":[0.0001001534,0.0003614979,0.0002754217,0.0002002403,0.0001737453,0.0001273239,0.0002484813,0.0001596819,0.0009197013],"category_scores_gemma":[0.0000545656,0.0002295347,0.0003281125,0.0001787498,0.000104017,0.0001346295,0.0002190664,0.0003211863,0.0004301561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001806289,"about_ca_system_score_gemma":0.0002000806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006515808,"about_ca_topic_score_gemma":0.0009809218,"domain_scores_codex":[0.999947,0.000004735771,0.000005411938,0.00001740557,0.0000160745,0.000009399218],"domain_scores_gemma":[0.9999548,0.000006563415,0.000009730777,0.00000687739,0.000007586037,0.00001431557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001452754,0.000004943503,0.0000867992,0.00001400873,0.000001518238,0.00002419811,0.000006241102,0.00003102779,0.9992577,0.00005569232,0.000009521801,0.0004937307],"study_design_scores_gemma":[0.00003878092,0.000166445,0.005304734,0.000002513163,0.00005250242,0.0003765074,0.00002117522,0.001542735,0.9903114,0.0000583583,0.002117464,0.000007351816],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622976,0.0002874235,0.03334515,0.00008574668,0.00002776194,0.00007203055,0.000339926,0.0002171358,0.003327181],"genre_scores_gemma":[0.9751126,0.0002871662,0.0162753,0.00003083072,0.000004593635,0.00005896694,0.0008600124,0.00005617234,0.007314341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009197013,"threshold_uncertainty_score":0.003076673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04086176728103869,"score_gpt":0.2190494021640949,"score_spread":0.1781876348830562,"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."}}