{"id":"W2009876147","doi":"10.4141/p04-054","title":"A bimodal model for oat kernel size distributions","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Agricultural Engineering and Mechanization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kernel (algebra); Panicle; Digital image analysis; Mathematics; Biological system; Statistics; Agronomy; Biology; Computer science; Combinatorics","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":[0.0001336284,0.00005328875,0.00006235612,0.00008200515,0.0001140487,0.00003893183,0.0001614441,0.00002248578,0.000005201438],"category_scores_gemma":[0.0001127667,0.00004229486,0.00002602315,0.0002083454,0.00002881373,0.0002427776,0.000002091673,0.00006650206,0.000002633557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002185668,"about_ca_system_score_gemma":0.0003167775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004426307,"about_ca_topic_score_gemma":0.001152152,"domain_scores_codex":[0.9995356,0.000001079017,0.0001146529,0.00004735298,0.00008613865,0.0002151961],"domain_scores_gemma":[0.999471,0.00001761816,0.00002236303,0.00003940867,0.0001008636,0.0003487168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[7.202437e-7,0.000001359672,0.00001319671,0.000004921838,0.000002989913,0.000002564119,0.0001688577,0.9802589,0.01306572,0.002498236,0.003102754,0.0008798072],"study_design_scores_gemma":[0.00009750236,0.00001073832,0.0004026128,0.00002214517,0.000006549911,0.0001010165,0.00002393279,0.9911228,0.003190216,0.0001272354,0.004817493,0.00007777117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2870534,0.0001511253,0.7109985,0.0003812196,0.0005953843,0.00009140922,0.0005242686,0.00003485481,0.0001698115],"genre_scores_gemma":[0.9937979,0.000007337558,0.005956474,0.0000169377,0.0001245508,0.0000012719,0.000005397615,0.000003994777,0.00008611137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7067446,"threshold_uncertainty_score":0.1724734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008022302368053005,"score_gpt":0.1764431001122382,"score_spread":0.1684207977441852,"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."}}