{"id":"W2804121360","doi":"","title":"Are we Headed for Crop Shortages Due to Cooling Sea Surface Temperatures","year":2016,"lang":"en","type":"article","venue":"32nd Conf. on Agricultural and Forest Meteorology/22nd Symp. Boundary Layers and Turbulence/ Third Conf. on Atmospheric Biogeosciences (20 – 24 June, 2016)","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thomson Reuters (Canada)","funders":"","keywords":"Economic shortage; Environmental science; Crop; Climatology; Geography; Geology; Forestry; Government (linguistics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002276803,0.000402609,0.0005523826,0.0007424318,0.001671647,0.002187371,0.001076387,0.002831311,0.06404452],"category_scores_gemma":[0.01912617,0.0002773736,0.0006841782,0.001296311,0.001052461,0.003444213,0.001405717,0.003847703,0.01569006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090568,"about_ca_system_score_gemma":0.003670862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01051878,"about_ca_topic_score_gemma":0.01404736,"domain_scores_codex":[0.9989023,0.0002452463,0.0001151153,0.0001380321,0.0002062199,0.0003930497],"domain_scores_gemma":[0.9880337,0.001579534,0.002689469,0.0004449338,0.003220804,0.004031611],"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":[0.0005625332,0.00008220523,0.05482681,0.0006907218,0.0001381383,0.0008034741,0.0006767486,0.0002332699,0.0004721282,0.002203694,0.8129357,0.1263746],"study_design_scores_gemma":[0.0001417421,0.0002825498,0.1320838,0.002367465,0.0002142898,0.00138271,0.008203578,0.0004319796,0.0009435778,0.008406962,0.8453965,0.0001447418],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07559158,0.04427601,0.002384301,0.7089034,0.1067687,0.00008488192,0.01158763,0.0005009662,0.04990263],"genre_scores_gemma":[0.5342337,0.07274923,0.002868576,0.2369428,0.06004434,0.0002227751,0.01218815,0.001003819,0.0797466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06404452,"threshold_uncertainty_score":0.2142503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130844878037206,"score_gpt":0.2133218619217594,"score_spread":0.2020134131413874,"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."}}