{"id":"W1655919456","doi":"10.59962/9780774855976-013","title":"Biophysical and Socio-Economic Stressors for Agriculture in the Canadian Prairies","year":2008,"lang":"en","type":"book-chapter","venue":"University of British Columbia Press eBooks","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Stressor; Agriculture; Geography; Psychology; Archaeology","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":[0.000344254,0.0002910566,0.0002484197,0.0009976827,0.009091285,0.003356185,0.000880579,0.0005812919,0.004245833],"category_scores_gemma":[0.0005299435,0.0002800254,0.0001845389,0.00384363,0.003036988,0.000685907,0.0009491777,0.001105853,0.0002624239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04570824,"about_ca_system_score_gemma":0.09420467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964213,"about_ca_topic_score_gemma":0.9995118,"domain_scores_codex":[0.9996862,0.00002687454,0.000005515525,0.0000206293,0.0001070744,0.0001537571],"domain_scores_gemma":[0.9997162,0.00003584721,0.00001892869,0.000007358502,0.0001185868,0.0001030089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001467599,0.0001785028,0.114518,0.0007122643,0.00006168958,0.001755529,0.1313806,0.00383161,0.003694303,0.08270708,0.1732157,0.4877978],"study_design_scores_gemma":[0.000005894855,0.00003002123,0.4564557,0.0004639615,0.00002490576,0.0002087367,0.09597854,0.000499976,0.0002844833,0.005955961,0.4400066,0.00008524802],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5069931,0.07163277,0.0008717371,0.04229683,0.0006183641,0.0001089936,0.002535469,0.00007627323,0.3748666],"genre_scores_gemma":[0.7915795,0.05285021,0.001356003,0.001620573,0.0001245889,0.0000375111,0.0005215675,0.00004803759,0.1518621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04570824,"threshold_uncertainty_score":0.331638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0254411616083487,"score_gpt":0.2356135213650819,"score_spread":0.2101723597567332,"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."}}