{"id":"W7161767468","doi":"10.82308/10892","title":"Predictive equations of forage nutritive value for use under Québec's environmental conditions","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Pasture and Agricultural Systems","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forage; Sugar industry; Animal production; Value (mathematics); Limiting","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":[0.0006122555,0.0007397803,0.0003639887,0.0006628629,0.0005893369,0.0009313324,0.0008555729,0.0004133567,0.002857866],"category_scores_gemma":[0.002015539,0.000298774,0.0004357624,0.0006034054,0.0002175934,0.0003912221,0.0002564538,0.0004875589,0.0004027644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005636772,"about_ca_system_score_gemma":0.004915422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8369911,"about_ca_topic_score_gemma":0.8467107,"domain_scores_codex":[0.9998485,0.0000274219,0.000009147057,0.00004685426,0.00004186184,0.00002623918],"domain_scores_gemma":[0.9992808,0.0002512565,0.0000630717,0.00001950537,0.0003645959,0.00002091081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002176871,0.0001428754,0.1216754,0.000202974,0.0001520781,0.0001296213,0.0002360426,0.7603554,0.007195292,0.001736591,0.004494845,0.1034613],"study_design_scores_gemma":[0.00001873153,0.00004673675,0.04566016,0.00002940451,0.00004056836,0.00001632212,0.00009312919,0.9501712,0.001738958,0.0003549682,0.001802414,0.00002737688],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8648348,0.0007105715,0.1185355,0.0003865774,0.00005150255,0.0002929125,0.004728186,0.0009895357,0.009470334],"genre_scores_gemma":[0.9457188,0.0004336626,0.0423689,0.00006161966,0.000008276769,0.0002144108,0.002797588,0.00006969774,0.008327112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1630089,"threshold_uncertainty_score":0.3279378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02697193495184565,"score_gpt":0.2516152825118894,"score_spread":0.2246433475600437,"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."}}