{"id":"W6943317063","doi":"10.15468/dl.n92s8t","title":"Occurrence Download","year":2023,"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); Set (abstract data type); Order (exchange)","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":[0.0009837797,0.001959751,0.001586221,0.004529264,0.001009376,0.002427949,0.002897548,0.002002013,0.1483688],"category_scores_gemma":[0.005587423,0.0009337781,0.00120138,0.009127147,0.0004680697,0.002232103,0.002576587,0.00204328,0.2076152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596531,"about_ca_system_score_gemma":0.002268286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02209439,"about_ca_topic_score_gemma":0.03784381,"domain_scores_codex":[0.999065,0.0001238137,0.0001158783,0.0003269596,0.0002117961,0.0001566643],"domain_scores_gemma":[0.9978694,0.0005918136,0.0001965494,0.0005924444,0.0005031529,0.0002466445],"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":[0.00003001721,0.00001162032,0.0004075597,0.0005249224,0.00001600673,0.00001585215,0.000027897,0.000141781,0.0001408158,0.0004167761,0.9967613,0.001505543],"study_design_scores_gemma":[0.00006938745,0.000007386139,0.001809772,0.0001711245,0.00001406328,0.00003718064,0.0000749001,0.0001513549,0.0002037715,0.00075493,0.9966888,0.00001748618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004739287,0.00002635801,0.00005346232,0.00003400003,0.00001232726,0.000005298194,0.9987298,0.0004518171,0.0006396628],"genre_scores_gemma":[0.000163102,0.0000297414,0.0002098623,0.00003872715,0.000003005623,0.00004000487,0.9989375,0.0001662686,0.0004117783],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8516312,"threshold_uncertainty_score":0.4963431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}