{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004847335,0.0001972199,0.000241629,0.00001305344,0.0001294124,0.00005312567,0.0003635543,0.0001192367,0.00003282388],"category_scores_gemma":[0.00002982912,0.00005119776,0.00005656847,0.0002486487,0.00005429238,0.00009804295,0.00007793769,0.0002298899,0.000126103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003791732,"about_ca_system_score_gemma":0.000004440773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009382864,"about_ca_topic_score_gemma":0.001029844,"domain_scores_codex":[0.9984097,0.0001982777,0.0002335666,0.0004522239,0.0002996278,0.0004065299],"domain_scores_gemma":[0.9996085,0.00009502378,0.00005384759,0.00007532613,0.00005214845,0.0001152215],"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":[0.0001153068,0.0008038117,0.2070295,0.000002276644,0.00001679365,0.00007889523,0.003265861,0.00000153621,0.787602,0.0001098613,0.000656589,0.0003175926],"study_design_scores_gemma":[0.0003569096,0.0005832867,0.9131729,0.00002132613,0.000007070229,0.000009367925,0.007513528,0.000005553701,0.07764852,0.0001091489,0.0003338469,0.0002385264],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958081,0.00003246349,4.616484e-7,0.0003367241,0.0001383654,0.0005188355,0.00005750388,0.00006020311,0.003047382],"genre_scores_gemma":[0.9982234,0.00000424,0.00006319806,0.0006187416,0.00004813736,0.0000248265,0.0000490001,8.832171e-7,0.0009675507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7099535,"threshold_uncertainty_score":0.2087784,"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."}}