{"id":"W2369784688","doi":"","title":"Study on Water Content in Seed by Low Constant Temperature Oven Method","year":2011,"lang":"en","type":"article","venue":"Seed","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Constant (computer programming); Content (measure theory); Water content; Thermodynamics; Food science; Mathematics; Chemistry; Physics; Computer science; Geology; Mathematical analysis; Geotechnical engineering","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":[0.0000610769,0.0001678874,0.000125311,0.0002793518,0.0001617334,0.000104464,0.0001337386,0.00009799422,0.0007121036],"category_scores_gemma":[0.0001039472,0.00008395952,0.0001062511,0.0002535578,0.0001919971,0.0001453509,0.0000781945,0.0003121798,0.0001196488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009341804,"about_ca_system_score_gemma":0.0001324317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001618971,"about_ca_topic_score_gemma":0.002846091,"domain_scores_codex":[0.9999533,0.000003654751,0.000001759076,0.00002147244,0.00001373504,0.000006124912],"domain_scores_gemma":[0.9998684,0.00003651394,0.00002518932,0.00001059305,0.00003942721,0.0000198457],"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":[0.0001128424,0.00001320321,0.007001619,0.00003048701,0.000006511042,0.0000300924,0.00006880006,0.00002858159,0.9908335,0.00004040171,0.00002332503,0.001810765],"study_design_scores_gemma":[0.00001586552,0.0003970754,0.2027242,0.00000777299,0.00008711421,0.0003051081,0.00018202,0.001466275,0.7930025,0.0000870237,0.001709942,0.00001509657],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941321,0.000459426,0.003909851,0.00002373973,0.00001925027,0.000008091717,0.0002274373,0.00002399027,0.001196132],"genre_scores_gemma":[0.9952435,0.0002942659,0.002560304,0.00001950435,0.00001186008,0.00001135708,0.0001996309,0.00002099664,0.001638546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001618971,"threshold_uncertainty_score":0.003219128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04506281753892609,"score_gpt":0.2317468894859295,"score_spread":0.1866840719470034,"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."}}