{"id":"W2348782917","doi":"","title":"Critical agrometeorological indicators for major field crops in Canada","year":2013,"lang":"en","type":"article","venue":"Daqi kexue xuebao","topic":"Environmental and Agricultural Sciences","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Overwintering; Growing season; Climate change; Agriculture; Frost (temperature); Crop; Agroforestry; Precipitation; Agronomy; Geography; Forestry; Meteorology; Ecology; Biology","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":[0.0002577819,0.000327733,0.0001671329,0.001950159,0.0009701285,0.0006044037,0.0003255826,0.00008485885,0.000867845],"category_scores_gemma":[0.000622939,0.00009911473,0.0001903327,0.002394952,0.0001991387,0.0002078205,0.0002656048,0.0001960734,0.00009143678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01398123,"about_ca_system_score_gemma":0.01238367,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9579889,"about_ca_topic_score_gemma":0.984959,"domain_scores_codex":[0.9997986,0.000009098446,0.000009274598,0.00002974402,0.00008439686,0.00006893363],"domain_scores_gemma":[0.9989179,0.00006179943,0.0001046871,0.00001839076,0.0006779709,0.000219311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003916768,0.00009897647,0.9110284,0.000219975,0.00005226842,0.0002403726,0.0009576633,0.005012876,0.02388724,0.001167267,0.004514973,0.05242833],"study_design_scores_gemma":[0.000002448747,0.00001872155,0.9946002,0.000006105279,0.000004991021,0.00002093849,0.0003774307,0.001298604,0.001052644,0.00004447244,0.002564366,0.000009186058],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815943,0.0003375245,0.0008941878,0.00005127707,0.00000432065,0.00008280439,0.008018762,0.00008579311,0.008931037],"genre_scores_gemma":[0.9903241,0.0002306922,0.002213074,0.00001528338,0.00000150123,0.00003722374,0.005148592,0.0000104256,0.00201905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04201108,"threshold_uncertainty_score":0.1014413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004027041508833959,"score_gpt":0.1867096564876786,"score_spread":0.1826826149788447,"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."}}