{"id":"W2953814209","doi":"10.5539/jas.v11n10p80","title":"Physical Characterization of Cottonseeds in Native Species (Gossypium spp.) From Mexico","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Research in Cotton Cultivation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science and Technology Council; Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias","keywords":"Biology; Cottonseed; Agronomy; Forage; Gossypium barbadense; Principal component analysis; Botany; Gossypium hirsutum; Mathematics; Statistics","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":[0.0001610974,0.0002329561,0.0001951454,0.00110287,0.0004766238,0.0002866469,0.0001130111,0.0001317753,0.0004962693],"category_scores_gemma":[0.0002111164,0.0001168288,0.0001588219,0.0005282888,0.000196637,0.000180824,0.0002192064,0.0001259639,0.00008593286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000338019,"about_ca_system_score_gemma":0.0002032172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009506362,"about_ca_topic_score_gemma":0.03100966,"domain_scores_codex":[0.9999194,0.000008824756,0.000007323114,0.00003208641,0.00001894138,0.00001349789],"domain_scores_gemma":[0.9998306,0.00002241702,0.00006577157,0.000009287525,0.00004656184,0.00002529986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000627316,0.0001615767,0.5417512,0.0002207232,0.0001068743,0.0005081845,0.001877488,0.0001929568,0.4330481,0.0001261448,0.0001403655,0.02123917],"study_design_scores_gemma":[0.000002352896,0.00007700382,0.9976304,0.000003358122,0.00001227506,0.0001482853,0.0003615921,0.00005683571,0.001314136,0.000008495227,0.0003834403,0.000001870585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995006,0.0001136372,0.0001151195,0.000005046809,0.000001280372,0.000004394955,0.000092152,0.000002246246,0.000165333],"genre_scores_gemma":[0.998134,0.0001900556,0.00072687,0.00001491876,0.000003443789,0.00001678098,0.0005045449,0.00000328873,0.0004062285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009506362,"threshold_uncertainty_score":0.01890206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02269956771402787,"score_gpt":0.2578981230160947,"score_spread":0.2351985553020668,"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."}}