{"id":"W6887123681","doi":"10.15468/dl.pyrxnn","title":"Occurrence Download","year":2016,"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); Data set; Confidentiality","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":[0.001073506,0.001967108,0.001599846,0.005646458,0.0009266165,0.002571824,0.002993893,0.00202493,0.1419919],"category_scores_gemma":[0.006523955,0.0008774331,0.001180486,0.01092177,0.0004454716,0.002361529,0.002642806,0.002023414,0.1935771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001567619,"about_ca_system_score_gemma":0.002445583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02035952,"about_ca_topic_score_gemma":0.03478308,"domain_scores_codex":[0.9988648,0.000156908,0.0001586747,0.0003798834,0.0002534823,0.0001862283],"domain_scores_gemma":[0.9972192,0.0007474052,0.0002867274,0.000755303,0.0006637329,0.0003276619],"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":[0.00002973107,0.0000124961,0.0004378102,0.0005475029,0.00001684069,0.00001603279,0.00002334734,0.000134415,0.0001068645,0.0003910956,0.9968979,0.001386025],"study_design_scores_gemma":[0.00007789102,0.000008609133,0.002111802,0.0002145748,0.00001561616,0.00004113797,0.00007253543,0.0001506265,0.0001836048,0.0007957365,0.9963099,0.00001782837],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004694306,0.00002930967,0.00004094723,0.00003560401,0.00001138749,0.000005487369,0.9989253,0.000314498,0.0005905831],"genre_scores_gemma":[0.0001572381,0.00003255967,0.0001597804,0.00003863799,0.000003288209,0.00003794581,0.9990472,0.0001087052,0.0004145708],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.858008,"threshold_uncertainty_score":0.4750104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}