{"id":"W1688758069","doi":"10.4141/cjss2012-053","title":"Impact of climate change scenarios on Canadian agroclimatic indices","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Australian Government","keywords":"Climate change; Environmental science; Precipitation; Growing season; Greenhouse gas; Agriculture; Climatology; Climate model; Geography; Meteorology; Agronomy; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001101731,0.0008951588,0.000403272,0.001704785,0.001929435,0.001715901,0.001137714,0.0004331324,0.002396913],"category_scores_gemma":[0.003188375,0.0003036605,0.001153552,0.004424117,0.0004891356,0.0005510232,0.0007469192,0.0007476545,0.0001904487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04050728,"about_ca_system_score_gemma":0.02647159,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9855167,"about_ca_topic_score_gemma":0.987893,"domain_scores_codex":[0.9989653,0.0001320404,0.000038443,0.0001450948,0.0004956022,0.0002234597],"domain_scores_gemma":[0.9981797,0.0001770071,0.00008097901,0.00008521701,0.0013337,0.0001434694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007511754,0.0001145521,0.2005606,0.0003820989,0.0009724956,0.0004450138,0.0003510082,0.7006652,0.003830262,0.009469237,0.03831755,0.04414086],"study_design_scores_gemma":[0.0002420472,0.0001003772,0.5493479,0.0001222962,0.0005169839,0.0001387443,0.0008989738,0.3839824,0.003354697,0.003541386,0.05746721,0.0002870011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8489758,0.002006262,0.00270117,0.002455353,0.0002053418,0.0002310874,0.08097928,0.000433766,0.0620118],"genre_scores_gemma":[0.9756294,0.0009991433,0.002373264,0.0001396331,0.000009668645,0.00006379608,0.01900504,0.00005191024,0.001728191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04050728,"threshold_uncertainty_score":0.2939023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03865930526226388,"score_gpt":0.2505759437343297,"score_spread":0.2119166384720658,"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."}}