{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006442541,0.0002140863,0.0002963864,0.00001670886,0.0005522085,0.00008022561,0.0002317083,0.0002865118,0.0003218553],"category_scores_gemma":[0.0000543843,0.00007330663,0.0002701092,0.00004668574,0.00005020279,0.0002810193,0.00001127067,0.0001080626,0.00002264287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009288827,"about_ca_system_score_gemma":0.00003890996,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06502561,"about_ca_topic_score_gemma":0.3516409,"domain_scores_codex":[0.9989946,0.00003679002,0.0002742512,0.0002948389,0.0001878188,0.0002116987],"domain_scores_gemma":[0.9989527,0.0004666087,0.0003316529,0.00006408289,0.00008452325,0.000100357],"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":[0.0003421262,0.001098906,0.004611463,0.0001609501,0.0009268055,0.000004697096,0.001183561,0.00006770817,0.9258692,0.02143497,0.03182621,0.01247346],"study_design_scores_gemma":[0.0005749949,0.0008731673,0.9172236,0.0003645374,0.0003816356,0.000003973676,0.01205657,0.0001187616,0.01547408,0.002097758,0.05004693,0.0007840444],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631788,0.0004082159,0.00005886571,0.0006120542,0.0005895246,0.002947123,0.012321,0.00006934716,0.01981514],"genre_scores_gemma":[0.9494548,0.00004382152,0.00002172234,0.00004030142,0.0002800536,0.0002880864,0.01933322,0.000001550748,0.03053646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9126121,"threshold_uncertainty_score":0.9412005,"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."}}