{"id":"W6903524270","doi":"10.13140/rg.2.2.14004.94086","title":"Agricultural Supports & Challenges: Exploring the Role of Regional Districts across British Columbia, Canada","year":2023,"lang":"en","type":"article","venue":"","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Agricultural productivity; Government (linguistics); Work (physics)","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":[0.001369545,0.0003499982,0.000574558,0.001898824,0.01390862,0.006876467,0.00283283,0.0009367936,0.005420392],"category_scores_gemma":[0.004444027,0.0003996977,0.0003221286,0.005934014,0.003469971,0.001487788,0.004864457,0.001884987,0.0003121066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09843411,"about_ca_system_score_gemma":0.1635004,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9976159,"about_ca_topic_score_gemma":0.9995695,"domain_scores_codex":[0.9971668,0.0004719686,0.00005162665,0.0001772269,0.0003597808,0.001772539],"domain_scores_gemma":[0.994422,0.0008273555,0.0003573577,0.0001358804,0.002093223,0.002164062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002702373,0.0003717646,0.7213883,0.0005832872,0.0001820187,0.002317334,0.1163227,0.001830856,0.001134988,0.02227581,0.02626111,0.1070616],"study_design_scores_gemma":[0.00001783325,0.00004799079,0.5131808,0.0005601782,0.00009747611,0.0001435585,0.4569459,0.0008108775,0.0001795118,0.001169429,0.02679207,0.0000543641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616474,0.001535465,0.0002190331,0.008720073,0.00003212298,0.0001195725,0.001108994,0.00001341977,0.02660393],"genre_scores_gemma":[0.9908166,0.0009313821,0.0003083014,0.0006512149,0.000004818675,0.00004802868,0.0002190972,0.000008371961,0.007012168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09843411,"threshold_uncertainty_score":0.7141928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03603653023704791,"score_gpt":0.2078997193764355,"score_spread":0.1718631891393876,"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."}}