{"id":"W7019070717","doi":"","title":"El Merito Forestal no Evita Migracion: San Juan Bautista Jayacatlan","year":2009,"lang":"es","type":"article","venue":"Digital Library Of The Commons Repository (Indiana University)","topic":"Mexican Socioeconomic and Environmental Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Constitution; European union; Order (exchange)","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":[0.0005833246,0.0001628146,0.0001151975,0.0001868604,0.00967567,0.003167865,0.0005166887,0.001306976,0.01218044],"category_scores_gemma":[0.0006213099,0.0001438113,0.00007745127,0.000348907,0.001598658,0.0008708942,0.002387512,0.002401229,0.0009315991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003527503,"about_ca_system_score_gemma":0.009473024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2139774,"about_ca_topic_score_gemma":0.5777763,"domain_scores_codex":[0.9996909,0.0001054834,0.000003409033,0.00002981158,0.00003779295,0.0001326144],"domain_scores_gemma":[0.9996333,0.00006696847,0.0000303427,0.00001007454,0.00006152033,0.0001977325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000181058,0.00024885,0.05968617,0.00044379,0.00002393564,0.007272216,0.2307258,0.0002824764,0.002012587,0.1394644,0.4738742,0.08578443],"study_design_scores_gemma":[0.00001417404,0.00003130227,0.02420187,0.0003130308,0.000009674628,0.0004283582,0.1434075,0.00006958794,0.0001507945,0.002453882,0.8289047,0.00001511099],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3242211,0.008877051,0.0002012099,0.2163496,0.001242782,0.00005591887,0.0001180955,0.00002249984,0.4489118],"genre_scores_gemma":[0.5822846,0.008446829,0.000257743,0.02551901,0.0003771164,0.00006580194,0.00009489977,0.00003496318,0.382919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2139774,"threshold_uncertainty_score":0.4254639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0036944222864915,"score_gpt":0.1582052642730107,"score_spread":0.1545108419865192,"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."}}