{"id":"W2890136749","doi":"","title":"Alternative crops in wheat country: yield response to available water","year":2018,"lang":"en","type":"other","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministry of Agriculture - Saskatchewan","keywords":"Yield (engineering); Agronomy; Agricultural economics; Agroforestry; Environmental science; Economics; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003621372,0.0001068503,0.00007792355,0.000194145,0.0007531827,0.001872624,0.0002517034,0.0004332323,0.01260165],"category_scores_gemma":[0.001490333,0.00006295418,0.000113977,0.0007608178,0.0006709305,0.0008507554,0.001106853,0.0004686771,0.0005206363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526444,"about_ca_system_score_gemma":0.000662837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01417788,"about_ca_topic_score_gemma":0.04732431,"domain_scores_codex":[0.9998717,0.00004121395,0.000004549541,0.00002515464,0.00002711485,0.00003029586],"domain_scores_gemma":[0.9995394,0.0001235008,0.0001189289,0.00003251224,0.00008452187,0.0001012814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003833218,0.001852757,0.5384779,0.000343498,0.0001724194,0.002692403,0.09162907,0.003330215,0.02105666,0.06318316,0.02256957,0.2508592],"study_design_scores_gemma":[0.00004661196,0.0004685519,0.8005223,0.00006465625,0.00005327788,0.0001818091,0.128628,0.001755682,0.00279975,0.008915953,0.05653188,0.00003137459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632443,0.000118253,0.0002488508,0.0007450092,0.00002073234,0.000006572642,0.0001897991,0.000009738844,0.03541675],"genre_scores_gemma":[0.9896035,0.0001190466,0.0002166995,0.00005514615,0.000003897515,0.000003537392,0.00008663133,0.000006206161,0.00990531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01417788,"threshold_uncertainty_score":0.0421567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03374665949538967,"score_gpt":0.2480476318435694,"score_spread":0.2143009723481798,"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."}}