{"id":"W2327809732","doi":"10.12735/as.v4n2p01","title":"Inter- and Double-crop Yield Response to Alternative Crop Planting Dates","year":2014,"lang":"en","type":"article","venue":"Agricultural Science","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crop; Sowing; Yield (engineering); Agronomy; Crop yield; Agroforestry; Biology; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003191945,0.000235315,0.0002175616,0.0001895458,0.0001246677,0.000368959,0.0001794079,0.0001723964,0.001194493],"category_scores_gemma":[0.0007128229,0.0001115251,0.0001404965,0.0002041644,0.0001202462,0.0001812625,0.0003075466,0.000329713,0.000144757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005306023,"about_ca_system_score_gemma":0.0001679801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004940847,"about_ca_topic_score_gemma":0.0119244,"domain_scores_codex":[0.9997389,0.00003743365,0.00001718058,0.000105921,0.00006036396,0.00004012863],"domain_scores_gemma":[0.9988971,0.0003006095,0.0002802686,0.0001077978,0.0002268405,0.0001873366],"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":[0.003433684,0.000443282,0.1799178,0.000133465,0.0001681744,0.0002018303,0.0004469579,0.001839129,0.7906367,0.0001209806,0.0001644909,0.02249357],"study_design_scores_gemma":[0.000008082855,0.0008607882,0.9803478,0.000003950974,0.00002508145,0.00004823952,0.0001960857,0.001165934,0.01667421,0.00004991192,0.0006133206,0.00000659455],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994763,0.000041293,0.0001754517,0.000003311197,0.000001335297,0.00000295583,0.00006338853,0.000004337181,0.0002316251],"genre_scores_gemma":[0.9989266,0.00003899296,0.0002356895,0.00001301253,0.000001261205,0.000006522726,0.000213657,0.000005288747,0.0005589611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004940847,"threshold_uncertainty_score":0.009824157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03530540126872239,"score_gpt":0.2566538205409792,"score_spread":0.2213484192722568,"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."}}