{"id":"W7047492594","doi":"","title":"How Alberta farmers are dealing with debilitating droughts","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Climate change; Crop; Crop production; Agricultural productivity; Economic impact analysis","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":[0.00191034,0.0004209575,0.0002287783,0.0007649882,0.01907398,0.006283923,0.001446692,0.002960127,0.01985944],"category_scores_gemma":[0.004441231,0.00034503,0.0001892161,0.001260482,0.003780004,0.002335818,0.002418407,0.002829721,0.002966481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01203292,"about_ca_system_score_gemma":0.02015402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6861745,"about_ca_topic_score_gemma":0.8825143,"domain_scores_codex":[0.9974874,0.0004742445,0.00002626594,0.000115591,0.0008267429,0.001069724],"domain_scores_gemma":[0.9965762,0.0003004507,0.0001629921,0.00006693241,0.000967368,0.001925983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000660275,0.0001294105,0.01608535,0.0001194621,0.00001795354,0.002397753,0.06214005,0.0001816733,0.001628557,0.004359521,0.7551402,0.157734],"study_design_scores_gemma":[0.000009882259,0.00003917354,0.01428431,0.0001028641,0.0000129755,0.0002548209,0.1668693,0.00004447011,0.0001594989,0.001013011,0.817179,0.00003074285],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1158837,0.009158078,0.0007889198,0.3525952,0.007018816,0.0001190464,0.0002794793,0.0005460447,0.5136107],"genre_scores_gemma":[0.3590308,0.01408377,0.001667673,0.0894336,0.001259427,0.00008268552,0.0002855909,0.0002434437,0.533913],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3138255,"threshold_uncertainty_score":0.6313474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004698758484094461,"score_gpt":0.1658812197715734,"score_spread":0.1611824612874789,"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."}}