{"id":"W6946496887","doi":"10.3389/fsufs.2020.00126.s012","title":"Table_4_Enhancing In-crop Diversity in Common Bean by Planting Cultivar Mixtures and Its Effect on Productivity.docx","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cultivar; Sowing; Monoculture; Yield (engineering); Legume; Crop; Monocropping; Phaseolus","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005506625,0.0007832007,0.000968338,0.001295824,0.0008845684,0.0008567611,0.001931764,0.0003853163,0.4460426],"category_scores_gemma":[0.001805677,0.0004828824,0.0009598754,0.001929085,0.0001594018,0.00104149,0.0004494313,0.001070262,0.04287025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642031,"about_ca_system_score_gemma":0.001318619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0252416,"about_ca_topic_score_gemma":0.06690767,"domain_scores_codex":[0.9997559,0.00002240983,0.00002366079,0.00005704302,0.00009620849,0.00004470511],"domain_scores_gemma":[0.9981138,0.0007206121,0.0001490047,0.0001209211,0.0006913707,0.00020431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001731186,0.0007546956,0.01527933,0.009870931,0.0001961323,0.0002418476,0.0002144051,0.001862529,0.03633238,0.0009631412,0.8555926,0.07696085],"study_design_scores_gemma":[0.001049702,0.001458926,0.1891984,0.001236541,0.0002514536,0.0003197754,0.0008490552,0.003073642,0.03465845,0.002101316,0.7656153,0.0001874002],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006383955,0.0002498346,0.001111362,0.000262649,0.0001650513,0.0005098652,0.9789007,0.002486486,0.00993004],"genre_scores_gemma":[0.04106241,0.0008403855,0.0174048,0.001147218,0.00007058136,0.002119848,0.8782251,0.00284337,0.05628617],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4460426,"threshold_uncertainty_score":0.790153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02983771836199815,"score_gpt":0.2433362897374645,"score_spread":0.2134985713754664,"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."}}