{"id":"W6955258585","doi":"10.57924/ruymla/dmikiz","title":"Plan de gestión de datos.pdf","year":2023,"lang":"es","type":"dataset","venue":"Papyrus","topic":"Synthesis and Biological Evaluation","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vector Institute","funders":"","keywords":"","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"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":[0.0008659445,0.0004142355,0.0004768183,0.00005858843,0.0002169244,0.0001379907,0.0006970397,0.001071882,0.008393249],"category_scores_gemma":[0.002025567,0.0003435282,0.0001889589,0.0001467464,0.0001020254,0.00003185112,0.0002223138,0.0005941786,0.04225214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000258965,"about_ca_system_score_gemma":0.0003374172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001797279,"about_ca_topic_score_gemma":0.0001137798,"domain_scores_codex":[0.9977205,0.0001780597,0.0004435951,0.0006162134,0.0003766821,0.0006648956],"domain_scores_gemma":[0.9977916,0.0009599336,0.0002715533,0.0007024183,0.00004518888,0.0002293282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006410578,0.0001356873,0.003852155,0.000376473,0.0001300403,0.0001662124,0.00004116081,0.000005706511,0.01377156,0.00001070127,0.9723343,0.009111932],"study_design_scores_gemma":[0.0003088762,0.00006602768,0.01065269,0.0004232928,0.0002833648,0.00004813863,0.0002146312,0.0001997079,0.01502406,0.0004495604,0.9717671,0.0005625586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05333815,0.0005471776,0.000006865937,0.0005236583,0.0003846864,0.0002024265,0.9412233,0.0002005581,0.003573205],"genre_scores_gemma":[0.004578524,0.003387911,0.0001642599,0.0005177488,0.001776306,0.0001265719,0.9861857,0.00005026885,0.003212719],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04875963,"threshold_uncertainty_score":0.9999017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07160343936743076,"score_gpt":0.3034079419146227,"score_spread":0.2318045025471919,"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."}}