{"id":"W7095859909","doi":"","title":"304","year":2014,"lang":"en","type":"article","venue":"","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preharvest; Phenology; Fungicide; Disease control; Disease; Berry","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":[0.0002458712,0.00003980607,0.00005048278,0.00002258612,0.00006996157,0.0001628161,0.0003636232,0.00001384476,0.000049101],"category_scores_gemma":[0.00004992753,0.00003108219,0.00001636512,0.00009059144,0.000007835772,0.0004803391,0.00009389893,0.00002837369,0.0003372351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004271485,"about_ca_system_score_gemma":0.00001125647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001022026,"about_ca_topic_score_gemma":1.874249e-7,"domain_scores_codex":[0.9995891,0.000008116311,0.0001327411,0.00007096014,0.0001044625,0.00009464868],"domain_scores_gemma":[0.9996281,0.00003316596,0.00005151946,0.0002139399,0.00003968721,0.00003362136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[4.277717e-8,0.000005469759,0.00002182805,0.000015885,8.046005e-7,4.466893e-8,0.0005932014,0.00003144174,0.000009588646,0.8998824,0.003669694,0.09576957],"study_design_scores_gemma":[0.00006331199,0.000008714148,0.00008030139,0.000007190395,3.340955e-7,0.00000425192,0.00001113254,0.9062497,0.0008795173,0.05112057,0.0415105,0.0000644835],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005582668,0.000003696943,0.7115954,0.0002270984,0.00009776827,0.00001319475,8.107977e-9,0.0001608431,0.2873438],"genre_scores_gemma":[0.6084384,8.629208e-7,0.3873455,0.002037927,0.00005586767,0.000001019058,2.048446e-7,0.000002205185,0.002118042],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9062182,"threshold_uncertainty_score":0.4334587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006352342119611149,"score_gpt":0.2004480336998561,"score_spread":0.1940956915802449,"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."}}