{"id":"W6887178342","doi":"10.15468/dl.vnteks","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Danaus; Set (abstract data type)","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":[0.0009283313,0.001920075,0.001584028,0.004909709,0.0009991642,0.00262149,0.00288826,0.002132628,0.1626343],"category_scores_gemma":[0.006335589,0.0008929797,0.00123683,0.009560731,0.0004531308,0.00236772,0.002630219,0.002009218,0.2086605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689,"about_ca_system_score_gemma":0.00237501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02368627,"about_ca_topic_score_gemma":0.03612467,"domain_scores_codex":[0.9990409,0.0001227224,0.0001252213,0.0003455348,0.0002062114,0.000159441],"domain_scores_gemma":[0.9977285,0.0006785944,0.0002157055,0.0005732576,0.0005469731,0.0002568687],"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":[0.00002977178,0.00001134099,0.000420054,0.0005908193,0.00001577476,0.00001631623,0.00002565783,0.0001328315,0.0001134677,0.0003717662,0.9968215,0.001450661],"study_design_scores_gemma":[0.00008042405,0.000008833708,0.001938908,0.0002295586,0.00001674568,0.00004105512,0.00008250117,0.0001862614,0.0001974141,0.0008221846,0.9963775,0.00001856598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004149273,0.00003002098,0.00004420021,0.00004174504,0.00001351904,0.000005593671,0.9987955,0.0004321844,0.0005956369],"genre_scores_gemma":[0.0001866804,0.00003896871,0.000207602,0.00005416098,0.000003645806,0.0000467017,0.9988233,0.0001669242,0.0004719702],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8373657,"threshold_uncertainty_score":0.5440659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}