{"id":"W7009337604","doi":"","title":"Enhancing Ontario’s Rural Infrastructure Preparedness: Inter-Community Service Sharing in a Changing Climate — Interim Report 2: Provincial Survey Results","year":2019,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Work (physics); Nucleofection; Government (linguistics); Context (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":[0.001254639,0.000175593,0.0001677436,0.0008354532,0.00334761,0.001322134,0.0007082904,0.0002938106,0.004887841],"category_scores_gemma":[0.004170842,0.0002578036,0.0003460691,0.00284341,0.0005167139,0.0006289974,0.001314789,0.0004449515,0.0005593632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02975263,"about_ca_system_score_gemma":0.07639419,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942058,"about_ca_topic_score_gemma":0.9977575,"domain_scores_codex":[0.9988227,0.000124821,0.00004444439,0.0000743725,0.0005340823,0.0003996403],"domain_scores_gemma":[0.9944457,0.0003669925,0.0004361165,0.0002341023,0.003532548,0.0009844785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001370669,0.0002315265,0.8795052,0.0004374534,0.00005031813,0.000194575,0.02213143,0.0007692351,0.001471135,0.001042845,0.0460256,0.04800365],"study_design_scores_gemma":[0.00001497237,0.00005483683,0.9379864,0.00006188168,0.00001959253,0.00003142759,0.03200478,0.0005168727,0.0003528995,0.00006952768,0.02886825,0.00001867887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9243468,0.0002804913,0.0009857441,0.003046082,0.00002776885,0.00127552,0.02370451,0.00009049065,0.04624268],"genre_scores_gemma":[0.9639151,0.0006140848,0.002223873,0.0003718721,0.0000101032,0.0006739782,0.00776353,0.00002414994,0.02440327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02975263,"threshold_uncertainty_score":0.2158715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01547506063394571,"score_gpt":0.2170204623515323,"score_spread":0.2015454017175866,"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."}}