{"id":"W1539367053","doi":"","title":"GUSTAVO SÁNCHEZ MARTÍNEZ, AL MUNDIAL DE PARA NATACIÓN","year":2013,"lang":"es","type":"article","venue":"Gaceta UNAM (2010-2015)","topic":"Mexican Socioeconomic and Environmental Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Geography; Art","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":[0.0007571104,0.000834536,0.0007609665,0.0000992682,0.0005236501,0.0003935821,0.001223545,0.0006227994,0.06288423],"category_scores_gemma":[0.00005965181,0.0008652097,0.0003469271,0.0002234486,0.001587577,0.001048446,0.0009757457,0.0008587961,0.06021501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160018,"about_ca_system_score_gemma":0.00009949661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00351503,"about_ca_topic_score_gemma":0.0001976388,"domain_scores_codex":[0.9950923,0.0002804254,0.0008522379,0.001278799,0.0006485035,0.001847737],"domain_scores_gemma":[0.9970037,0.0001469597,0.0004113762,0.001394714,0.00001528529,0.00102798],"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":[0.00009028422,0.0007073882,0.3019334,0.00009600926,0.0002559478,0.00005448317,0.001442628,0.001476075,0.01335149,0.0008810055,0.6614953,0.01821603],"study_design_scores_gemma":[0.001439573,0.0001877911,0.6946098,0.00005368002,0.0001427057,0.0000717127,0.0009704508,0.01262739,0.0004391107,0.001213577,0.2868443,0.001399903],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681131,0.0007632755,0.0008641041,0.01134185,0.001994823,0.001113418,0.0003348849,0.0001432388,0.01533125],"genre_scores_gemma":[0.9350542,0.002123202,0.003123457,0.004077477,0.0004996823,0.0001324004,0.0001955422,0.0001629076,0.05463115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3926764,"threshold_uncertainty_score":0.9993799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025120808817617,"score_gpt":0.2366081760076979,"score_spread":0.2263569679195218,"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."}}