{"id":"W7084088455","doi":"10.64628/aam.cp6cfvckv","title":"Rural communities in Québec are embracing ‘mushroom tourism’ to boost local economies","year":2025,"lang":"en","type":"article","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Rural economy; Production (economics); Productivity; Government (linguistics); Work (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003196772,0.0001872012,0.0001409172,0.0004039383,0.005181522,0.001790516,0.000542543,0.000531143,0.01864686],"category_scores_gemma":[0.0005118284,0.00009937081,0.000181875,0.001250447,0.001074551,0.0004847001,0.001019735,0.0006593635,0.0007791748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007371287,"about_ca_system_score_gemma":0.01450065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8973063,"about_ca_topic_score_gemma":0.9855429,"domain_scores_codex":[0.9997944,0.00004075979,0.000002482885,0.00001473164,0.00004540956,0.0001021805],"domain_scores_gemma":[0.9994122,0.00004914418,0.00003343119,0.00002696559,0.0002003818,0.0002778751],"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":[0.0003632428,0.0005669286,0.1465544,0.001074498,0.0001129018,0.002875078,0.0141682,0.002462386,0.01751341,0.03477062,0.3308651,0.4486732],"study_design_scores_gemma":[0.00004990249,0.0001389529,0.2962314,0.000197358,0.00002772432,0.000356987,0.02882835,0.001084142,0.0008258806,0.001324586,0.6708933,0.00004141507],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7386938,0.002286776,0.003700384,0.02918764,0.0005026682,0.000240246,0.00126829,0.0005961669,0.223524],"genre_scores_gemma":[0.8574795,0.00130334,0.006738018,0.003898788,0.00005708499,0.00006260651,0.0007421739,0.00007808972,0.1296404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1026937,"threshold_uncertainty_score":0.2065969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010573972353096,"score_gpt":0.2191719159268789,"score_spread":0.2085979435737829,"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."}}