{"id":"W1719347186","doi":"","title":"LA BIODIVERSIDAD EN UN CÓDIGO DE BARRAS","year":2007,"lang":"es","type":"article","venue":"Gaceta UNAM (2000-2009)","topic":"Mexican Socioeconomic and Environmental Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Geography","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001719841,0.0006071242,0.0005036602,0.0001156593,0.0004447835,0.0001519507,0.0008910741,0.0006686918,0.01643767],"category_scores_gemma":[0.00004432222,0.0006609277,0.0002994139,0.0002696309,0.00124386,0.0003810903,0.0005569582,0.0006935961,0.01419175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002978279,"about_ca_system_score_gemma":0.0001237704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001228079,"about_ca_topic_score_gemma":0.0001020224,"domain_scores_codex":[0.9961933,0.0002772123,0.0006388336,0.0009407825,0.0004840925,0.001465803],"domain_scores_gemma":[0.9979289,0.0002589178,0.0002664761,0.0007670375,0.000005394011,0.0007732663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001580326,0.0006451101,0.8520465,0.00006970675,0.0002288751,0.0003083124,0.0075415,0.00159288,0.006298252,0.001018054,0.009970332,0.1201224],"study_design_scores_gemma":[0.00112806,0.0001472964,0.7603502,0.00004439231,0.0001472658,0.00008885119,0.00231354,0.0009735125,0.00134427,0.0004439347,0.2321205,0.0008981614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8938091,0.0007950219,0.001373351,0.0005252259,0.0004057033,0.0003496104,0.0003818856,0.00009770284,0.1022624],"genre_scores_gemma":[0.9829561,0.001563561,0.002562464,0.001428434,0.0002445482,0.000007829801,0.00006439006,0.00007489538,0.01109785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2221502,"threshold_uncertainty_score":0.9995842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004941422451127283,"score_gpt":0.2108248509619597,"score_spread":0.2058834285108324,"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."}}