{"id":"W2353602720","doi":"","title":"Analysis on Yielding Ability and Yield Stability of Qian waxy 668","year":2011,"lang":"en","type":"article","venue":"Seed","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Stability (learning theory); Horticulture; Chemistry; Biology; Materials science; Computer science; Composite material; Machine learning","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":[0.0002424743,0.0002032744,0.000130443,0.0004709584,0.0002312453,0.0001698371,0.0001094502,0.0001096023,0.001505441],"category_scores_gemma":[0.0003427862,0.0001264786,0.0002415096,0.0004957436,0.0001483546,0.0002372267,0.0001533308,0.0002064247,0.0002383464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001759369,"about_ca_system_score_gemma":0.000159331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001735339,"about_ca_topic_score_gemma":0.002786262,"domain_scores_codex":[0.9998853,0.00001200015,0.00001022697,0.00002011111,0.00005344812,0.0000189582],"domain_scores_gemma":[0.9997652,0.00004311207,0.0000506069,0.00001759155,0.00009590781,0.00002744636],"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":[0.00009116023,0.00001320543,0.001330443,0.0000386201,0.000006059729,0.00005284106,0.00007135935,0.0001497582,0.9958202,0.00006703821,0.00001564419,0.002343687],"study_design_scores_gemma":[0.000001637799,0.0002192069,0.01321723,0.000002912248,0.00002442242,0.00004950233,0.00005719395,0.0005323149,0.9852005,0.00002063206,0.000668033,0.00000630315],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969327,0.000341487,0.001311965,0.000007838842,0.000003220898,0.00001295845,0.0001760443,0.00001336095,0.001200291],"genre_scores_gemma":[0.9952703,0.0002350563,0.001215451,0.000007550384,0.000001328575,0.00001382132,0.0002657726,0.00001521831,0.002975568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001735339,"threshold_uncertainty_score":0.005036175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08054638388948432,"score_gpt":0.2780634800712965,"score_spread":0.1975170961818122,"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."}}