{"id":"W4394309691","doi":"10.6084/m9.figshare.8298152","title":"dibujos-mascotas-golden-retriever.jpg","year":2019,"lang":"es","type":"dataset","venue":"Figshare","topic":"Media and Digital Communication","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Labrador Retriever; Medicine; Surgery","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","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001441169,0.0006931933,0.0006900803,0.0002668081,0.000214557,0.001640746,0.007025629,0.0006936313,0.1511923],"category_scores_gemma":[0.003080667,0.0006863199,0.0003150455,0.0008545549,0.00002396253,0.001344405,0.00423182,0.001034366,0.1724748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000140251,"about_ca_system_score_gemma":0.0006131333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002517994,"about_ca_topic_score_gemma":0.00001415341,"domain_scores_codex":[0.9962649,0.0001863838,0.0006606355,0.001102188,0.001045884,0.0007400375],"domain_scores_gemma":[0.9921051,0.0009808458,0.0006676538,0.005476854,0.0003946455,0.0003749198],"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":[0.000007445804,0.0001016526,0.000006362329,0.0006662772,0.00003778043,0.00003619896,0.00005238944,0.000007383923,0.000002383029,0.00005838887,0.9961632,0.00286046],"study_design_scores_gemma":[0.0003156433,0.0001665992,0.0002489504,0.005230288,0.00002388639,0.00002347427,0.000007682968,0.0009452119,0.00008251801,0.000070132,0.9920852,0.0008004712],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003725899,0.002046183,0.00001904893,0.0002640377,0.0008799944,0.0007150079,0.9884903,0.0001318441,0.007449892],"genre_scores_gemma":[0.0006582195,0.0001834513,0.00016883,0.0008674169,0.0004476149,0.0001688402,0.9952704,0.00004150666,0.002193756],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02128251,"threshold_uncertainty_score":0.9995588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08765579124466352,"score_gpt":0.2966651845542552,"score_spread":0.2090093933095916,"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."}}