{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004213807,0.0003940041,0.0004024383,0.0001118664,0.0005802868,0.000236223,0.00170492,0.0002184373,0.0003831164],"category_scores_gemma":[0.000006812832,0.0003827295,0.0004940942,0.0003458962,0.001230178,0.002264764,0.0009084955,0.0003525497,0.0004043868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003130477,"about_ca_system_score_gemma":0.0000654153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001042346,"about_ca_topic_score_gemma":0.00001429474,"domain_scores_codex":[0.9981321,0.0001294013,0.0003950665,0.0005465596,0.0003249023,0.0004719392],"domain_scores_gemma":[0.9981924,0.00007607434,0.0003768855,0.0009867202,0.000004142705,0.0003638082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002588807,0.0006227125,0.9627884,0.00005546518,0.0001517967,0.0002434131,0.000383633,0.0002592031,0.0009714143,0.005276971,0.02411072,0.004877377],"study_design_scores_gemma":[0.0005775293,0.0004798561,0.7483906,0.0001659676,0.0001193342,0.00005764165,0.0006949998,0.0003442952,0.001209707,0.0004639876,0.2467825,0.0007135636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7661774,0.0001020292,0.00000691071,0.001045977,0.0002771956,0.0002726111,0.0007401853,0.00005296077,0.2313247],"genre_scores_gemma":[0.9752109,0.0000774756,0.00007394856,0.0001918771,0.00008304584,3.707502e-7,0.0001287651,0.00002635568,0.02420726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2226718,"threshold_uncertainty_score":0.9998624,"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."}}