{"id":"W4398275946","doi":"10.7910/dvn/2ceywv/p7hovg","title":"Raúl_Labrador.jpg","year":2019,"lang":"gl","type":"dataset","venue":"Harvard Dataverse","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Replication (statistics); Computer science; Information retrieval; Cartography; Biology; 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","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001330119,0.0009614574,0.0009434042,0.0005248688,0.0004543997,0.001428253,0.006511952,0.0007346079,0.04675571],"category_scores_gemma":[0.0008647396,0.0009681681,0.0002984637,0.0008211511,0.0002146002,0.001955761,0.00341727,0.001809146,0.8089874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001992614,"about_ca_system_score_gemma":0.0006210766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007376004,"about_ca_topic_score_gemma":0.00007240232,"domain_scores_codex":[0.9936013,0.0006212585,0.0009997546,0.002453477,0.001263529,0.001060678],"domain_scores_gemma":[0.9882621,0.0004065669,0.001001879,0.009638725,0.0002171847,0.0004735339],"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":[0.00004593119,0.0002455648,0.00007675224,0.0002899051,0.0001082138,0.0001172421,0.00008890168,0.00006177742,0.00004146397,0.002086391,0.988618,0.008219886],"study_design_scores_gemma":[0.0009077072,0.0001836941,0.0004860105,0.0002621063,0.0001753377,0.00007476699,0.00004433249,0.01688943,0.00001274098,0.00003922968,0.9798522,0.001072467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001633475,0.00001111974,0.01835637,0.0001305912,0.004711375,0.0006792052,0.9735435,0.0002234232,0.002328089],"genre_scores_gemma":[0.0001945422,0.001033474,0.004387352,0.001303826,0.0007745583,0.0000307919,0.9835117,0.00005622082,0.008707535],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7622317,"threshold_uncertainty_score":0.9996083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02459427943361172,"score_gpt":0.2638907917282827,"score_spread":0.239296512294671,"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."}}