{"id":"W2387863308","doi":"","title":"Breeding and Utilization of Fine Quality Rice Restorer Line Chenghui 047","year":2001,"lang":"en","type":"article","venue":"","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Hybrid; Grain quality; Agronomy; Crop; Grain yield; Yield (engineering); Resistance (ecology); Biology; Line (geometry); Mathematics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004750286,0.0004071215,0.0004353757,0.0006395972,0.000412349,0.0002873761,0.0007221526,0.0003199092,0.001197201],"category_scores_gemma":[0.0001786814,0.0002770329,0.0004873278,0.0003667491,0.0002262522,0.0001681409,0.0006019131,0.0005679679,0.0008443599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003526589,"about_ca_system_score_gemma":0.0004968236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001818119,"about_ca_topic_score_gemma":0.00366834,"domain_scores_codex":[0.9996763,0.00002877212,0.00004995738,0.00007176978,0.0001136966,0.00005950616],"domain_scores_gemma":[0.9998007,0.00001621913,0.00003406883,0.00004666802,0.00003940413,0.00006285573],"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":[0.00004465114,0.0000605524,0.00069285,0.0000254164,0.000007713042,0.0001367243,0.00005121998,0.00008643409,0.9947727,0.000225418,0.0000791666,0.003817091],"study_design_scores_gemma":[0.0002911873,0.001336667,0.04053584,0.00002515316,0.000203148,0.001647666,0.0002739627,0.004657185,0.9178737,0.0002587548,0.03283585,0.0000608317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792084,0.0002980679,0.01496091,0.00009158474,0.00005674404,0.0003362031,0.0008465537,0.0002592478,0.003942382],"genre_scores_gemma":[0.9514957,0.000741322,0.0261878,0.0001187644,0.00002582825,0.0005008266,0.006464166,0.0002261707,0.01423943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001818119,"threshold_uncertainty_score":0.004005015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1878525967391821,"score_gpt":0.358542443068457,"score_spread":0.1706898463292749,"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."}}