{"id":"W102722153","doi":"10.31274/farmprogressreports-180814-2185","title":"Sweet Corn Plastic Mulch Comparison","year":2009,"lang":"en","type":"report","venue":"","topic":"Plant Disease Management Techniques","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mulch; Plastic mulch; Agronomy; Environmental science; Agricultural engineering; Horticulture; Biology; Engineering","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":[0.0003782081,0.0003872108,0.0002319477,0.001450118,0.0006346427,0.0007831965,0.0003922489,0.0002365689,0.06039448],"category_scores_gemma":[0.00102507,0.00006940201,0.0003199638,0.001738979,0.0001042575,0.0005461739,0.0006918467,0.0002319886,0.004888638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007379059,"about_ca_system_score_gemma":0.0004195793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003653353,"about_ca_topic_score_gemma":0.009817565,"domain_scores_codex":[0.999398,0.00008876866,0.00003657279,0.00008714325,0.0003082519,0.00008126689],"domain_scores_gemma":[0.9994429,0.00008290524,0.00006835082,0.00007050759,0.0002344632,0.0001008569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01895975,0.003639196,0.06047949,0.001431588,0.0002721324,0.0007478437,0.0003440545,0.001869446,0.04638407,0.01405761,0.07416657,0.7776482],"study_design_scores_gemma":[0.0004100036,0.01019926,0.2681054,0.0002203574,0.0002038561,0.0006777459,0.001437702,0.0007158382,0.03647356,0.002001214,0.6794678,0.00008728349],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6147482,0.00176037,0.001825979,0.0004094529,0.0004989468,0.000788046,0.0262134,0.0003291648,0.3534264],"genre_scores_gemma":[0.8493439,0.001895999,0.004724466,0.0006260002,0.00009489528,0.0008138209,0.0298469,0.0002020735,0.1124519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06039448,"threshold_uncertainty_score":0.2020397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06147784910471606,"score_gpt":0.2898450292302902,"score_spread":0.2283671801255741,"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."}}