{"id":"W2792884513","doi":"10.4067/s0718-34292017005000403","title":"Caracterización del sistema de seguridad de semillas en el municipio de Cruces","year":2017,"lang":"es","type":"article","venue":"Idesia","topic":"Occupational Health and Safety in Workplaces","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Geography; Art; Cartography; Political science","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","sts"],"consensus_categories":[],"category_scores_codex":[0.003155843,0.0004527163,0.0006868716,0.0001555874,0.004500488,0.0001978879,0.001184294,0.001007743,0.0002973044],"category_scores_gemma":[0.001879928,0.0004499496,0.0002186271,0.0001156593,0.0002418841,0.0003650528,0.0003566603,0.001300407,0.0006705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00109007,"about_ca_system_score_gemma":0.004045429,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006808466,"about_ca_topic_score_gemma":0.0009356248,"domain_scores_codex":[0.9943123,0.001792576,0.001052301,0.0005245541,0.0004496026,0.001868633],"domain_scores_gemma":[0.9941591,0.00227531,0.0009981482,0.001379189,0.0002553991,0.0009328562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004625025,0.0001095954,0.9734599,0.002261617,0.00009155056,0.00008180517,0.006566862,0.00007755984,0.0008032189,0.006171281,0.005708005,0.004206096],"study_design_scores_gemma":[0.0009006989,0.0001164998,0.9643677,0.002348711,0.0001340737,0.00005007315,0.001409349,0.002227372,0.0002201097,0.002170588,0.02561159,0.0004432483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680604,0.001724143,0.000263213,0.01528593,0.001278404,0.0008728477,0.0002623201,0.0001313038,0.01212141],"genre_scores_gemma":[0.9838046,0.002359022,0.002752307,0.003833457,0.002368766,0.0001492942,0.00005229875,0.00008860837,0.004591595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01990358,"threshold_uncertainty_score":0.9998053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03739698196113951,"score_gpt":0.460082760209955,"score_spread":0.4226857782488155,"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."}}