{"id":"W6887057048","doi":"10.15468/dl.q9abfe","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); Order (exchange); Column (typography)","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":[0.00104632,0.001787466,0.001648412,0.005527395,0.0009554988,0.002573578,0.002736768,0.00189779,0.1757722],"category_scores_gemma":[0.006805185,0.0008730561,0.001086107,0.01066798,0.0004337714,0.002301636,0.002602236,0.001903781,0.2287805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529539,"about_ca_system_score_gemma":0.002465622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02026946,"about_ca_topic_score_gemma":0.03343726,"domain_scores_codex":[0.9989273,0.0001478541,0.000150411,0.000372654,0.0002249628,0.0001768102],"domain_scores_gemma":[0.9972253,0.0008224558,0.0002763194,0.0006659624,0.0006994658,0.0003105869],"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":[0.00002985434,0.000009522904,0.0003902857,0.0006805813,0.00001649895,0.00001547267,0.00002632505,0.0001121517,0.0001161561,0.000440565,0.9966666,0.001495944],"study_design_scores_gemma":[0.00006196006,0.000006865202,0.001636677,0.0002246463,0.00001470881,0.00003294266,0.0000678978,0.0001050164,0.000168685,0.0007996979,0.9968641,0.00001673272],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003149159,0.00002643636,0.00003904877,0.00002957893,0.000009722139,0.000004662808,0.9989806,0.0002887548,0.000589679],"genre_scores_gemma":[0.0001595537,0.00003800178,0.0001817891,0.00004526565,0.00000335156,0.00004225827,0.9989154,0.0001461265,0.0004681641],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8242278,"threshold_uncertainty_score":0.5880165,"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."}}