{"id":"W4408460217","doi":"10.21083/ruralreview.v6i1.6937","title":"2022 Rural Symposium Program and Abstracts","year":2022,"lang":"en","type":"article","venue":"Rural Review Ontario Rural Planning Development and Policy","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Arrell Food Institute, University of Guelph; Ontario Agri-Food Innovation Alliance; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Library science; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017629,0.0007083025,0.0003738804,0.001503904,0.001998863,0.002089046,0.001041866,0.001566406,0.4398893],"category_scores_gemma":[0.002586535,0.0003476406,0.0005501518,0.001303496,0.0002608016,0.0007946747,0.001857184,0.0010346,0.1500015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004366385,"about_ca_system_score_gemma":0.01044734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03995519,"about_ca_topic_score_gemma":0.1030364,"domain_scores_codex":[0.9990501,0.0001253033,0.00002450622,0.00007226461,0.0005621535,0.0001657199],"domain_scores_gemma":[0.9968245,0.0001138487,0.00009012044,0.0000658755,0.001965293,0.0009404037],"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":[0.00002909784,0.00001784271,0.00004041662,0.0001412895,0.000001339622,0.00002125196,0.00003498377,0.00001483264,0.0002521526,0.0004485405,0.9852185,0.01377978],"study_design_scores_gemma":[0.000008113078,0.000017996,0.0004913207,0.00005054293,0.000001063112,0.00001035415,0.00006333178,0.00001030607,0.0000431322,0.00007531599,0.9992263,0.000002160159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003547697,0.02804656,0.001999679,0.05265104,0.06175981,0.003012454,0.01204821,0.001029363,0.8359052],"genre_scores_gemma":[0.00456273,0.006519368,0.0006876169,0.002844612,0.004679118,0.0005417652,0.002785734,0.0001438451,0.9772351],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5601107,"threshold_uncertainty_score":0.7989299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0283177610769778,"score_gpt":0.3385513728056147,"score_spread":0.3102336117286369,"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."}}