{"id":"W2889047039","doi":"","title":"Predicting forage nutritive value from height and maturity of irrigated alfalfa in Saskatchewan","year":2018,"lang":"en","type":"other","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forage; Agronomy; Maturity (psychological); Fodder; Value (mathematics); Mathematics; Biology; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004014937,0.0004349262,0.0002062814,0.00101936,0.0005650623,0.0006318354,0.0005729481,0.000273653,0.001075862],"category_scores_gemma":[0.0005551563,0.0001890898,0.0003136116,0.001347167,0.0002521596,0.0002124352,0.0003581649,0.0002259866,0.0003781803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007010986,"about_ca_system_score_gemma":0.004780183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8166538,"about_ca_topic_score_gemma":0.9264238,"domain_scores_codex":[0.9998471,0.00002040741,0.00001228582,0.00004201321,0.00003298252,0.00004525743],"domain_scores_gemma":[0.9994536,0.0001258382,0.00006260029,0.00002800181,0.0002362659,0.00009375226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002176508,0.00009060954,0.9558147,0.0000506644,0.0001562921,0.0003809139,0.0002056891,0.01205027,0.006691606,0.0001438465,0.0006230372,0.02357477],"study_design_scores_gemma":[0.00001864982,0.00006440451,0.979489,0.00003358097,0.0000558213,0.00006693224,0.0008069378,0.01594121,0.001880932,0.0001088704,0.001508532,0.00002509789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.996323,0.0001177812,0.000568951,0.00003490371,0.000003436938,0.00003997523,0.00131656,0.00002635598,0.001569074],"genre_scores_gemma":[0.9956578,0.0002190723,0.0016158,0.00004313046,0.000001219855,0.00004201751,0.001296266,0.000005556017,0.001119145],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1833462,"threshold_uncertainty_score":0.3688518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386777094517629,"score_gpt":0.2219865704504628,"score_spread":0.2081187995052865,"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."}}