{"id":"W4284883151","doi":"10.21203/rs.3.rs-884456/v2","title":"Socio-ecological contagion in Veganville","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Per capita; Tipping point (physics); Sustainability; Greenhouse gas; Economics; Ecological footprint; Order (exchange); Carbon footprint; Natural resource economics; Geography; Population; Ecology; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0007010284,0.000211519,0.0002096239,0.0007586784,0.00173095,0.002668855,0.0009616287,0.0008973022,0.004578189],"category_scores_gemma":[0.001913446,0.0001301503,0.000336686,0.0005664436,0.001840473,0.0009670476,0.003119208,0.0008424713,0.0001586299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006175058,"about_ca_system_score_gemma":0.002164667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1442791,"about_ca_topic_score_gemma":0.2586265,"domain_scores_codex":[0.9992274,0.0004002619,0.00001025601,0.00008205634,0.00006280136,0.0002172621],"domain_scores_gemma":[0.9985904,0.0007692506,0.0001699876,0.00009862336,0.0001356563,0.0002360067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007376579,0.00111555,0.6349227,0.0003821478,0.0005373023,0.01268706,0.03673084,0.07910845,0.00845278,0.1359051,0.007219221,0.08220121],"study_design_scores_gemma":[0.00006446112,0.0008930549,0.5921619,0.0003948419,0.0001634233,0.001837401,0.0882197,0.1703386,0.002902717,0.05892223,0.08382301,0.0002786377],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843053,0.0001964843,0.0008817648,0.000760173,0.00001511085,0.00003224057,0.00008680814,0.00001140353,0.01371068],"genre_scores_gemma":[0.9984531,0.00004666503,0.0001475211,0.00003969413,0.000001789109,0.000009216386,0.00003126963,0.000001776768,0.001268965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1442791,"threshold_uncertainty_score":0.2868785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05685182615477545,"score_gpt":0.3622370959199069,"score_spread":0.3053852697651314,"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."}}