{"id":"W2735518628","doi":"","title":"Human Footprint - Quebec (PDF)","year":2008,"lang":"en","type":"article","venue":"","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Footprint; Ecological footprint; Geography; Environmental resource management; Environmental science; Political science; Sustainable development; 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":[0.0006012468,0.001011021,0.0007491533,0.002582731,0.001263907,0.002238901,0.001123588,0.0008172399,0.1936036],"category_scores_gemma":[0.001702304,0.0005584251,0.000791848,0.008187987,0.0002394918,0.0006718699,0.0005722594,0.00111139,0.03036896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009850861,"about_ca_system_score_gemma":0.01191915,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9780142,"about_ca_topic_score_gemma":0.9774679,"domain_scores_codex":[0.9996469,0.00002780598,0.00001940674,0.00004431035,0.0001936242,0.00006790654],"domain_scores_gemma":[0.9982821,0.0001110165,0.00006037449,0.00008877954,0.001335876,0.0001220358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007104276,0.0000267335,0.003990588,0.0002349993,0.00003479358,0.00005438058,0.00006082344,0.0009623927,0.0001326116,0.001124503,0.9434384,0.04986878],"study_design_scores_gemma":[0.00005848944,0.00001415825,0.04183133,0.0002543509,0.0000271537,0.0000686497,0.0002111549,0.001305679,0.0003082716,0.0003663569,0.9555169,0.00003750814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.004411253,0.003854512,0.001630045,0.002205037,0.001857029,0.0002783317,0.8465969,0.001330226,0.1378367],"genre_scores_gemma":[0.04346044,0.005378493,0.006185706,0.0009298858,0.0002368546,0.0006631375,0.3570284,0.0008488553,0.5852683],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1936036,"threshold_uncertainty_score":0.6476685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2429088021249164,"score_gpt":0.3981728747820909,"score_spread":0.1552640726571745,"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."}}