{"id":"W2339866803","doi":"10.1371/journal.pone.0065848.g002","title":"An EcoData Retriever dataset script file.","year":2015,"lang":"en","type":"paratext","venue":"Figshare","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Labrador Retriever; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001765837,0.001918237,0.001018274,0.004682445,0.0009457353,0.002846835,0.0025225,0.001207673,0.3006371],"category_scores_gemma":[0.007635353,0.001301938,0.001443691,0.005621617,0.0003992831,0.003727456,0.003083956,0.001720593,0.2722145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001277616,"about_ca_system_score_gemma":0.001794786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01055021,"about_ca_topic_score_gemma":0.01464318,"domain_scores_codex":[0.9988778,0.000111191,0.0001585896,0.000285059,0.0004439653,0.0001233615],"domain_scores_gemma":[0.9946864,0.001245141,0.0002909877,0.001530597,0.001849638,0.0003972254],"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":[0.00006402197,0.00002201438,0.0003760169,0.0002149237,0.00001313824,0.00004864704,0.00004130582,0.00008720907,0.0005577541,0.0005231122,0.9906023,0.007449538],"study_design_scores_gemma":[0.0001302119,0.00001796892,0.002703767,0.0001072392,0.0000160834,0.0001138032,0.0001122835,0.0006258514,0.002933788,0.002030373,0.9911631,0.00004548902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0003057557,0.00003206222,0.00403234,0.0001870693,0.0000969426,0.000182797,0.9514432,0.03394573,0.009774144],"genre_scores_gemma":[0.001488624,0.00004943747,0.005923737,0.0002355801,0.0000347407,0.0004069601,0.9698257,0.01355413,0.008481085],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.3006371,"threshold_uncertainty_score":0.9975563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1084338173877563,"score_gpt":0.3224740347163907,"score_spread":0.2140402173286344,"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."}}