{"id":"W6943437889","doi":"10.15468/dl.shngs9","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); 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":[0.0009614492,0.002107951,0.001625624,0.00512618,0.0009899036,0.002708961,0.002756943,0.001872991,0.1753899],"category_scores_gemma":[0.005973313,0.0009775623,0.001218078,0.01021067,0.0004206013,0.002424244,0.002699506,0.001944818,0.2409042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001489573,"about_ca_system_score_gemma":0.002334129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01945428,"about_ca_topic_score_gemma":0.03359254,"domain_scores_codex":[0.9988751,0.0001555081,0.0001480615,0.0004038678,0.0002362695,0.0001812522],"domain_scores_gemma":[0.9974278,0.0006930278,0.0002407355,0.0006873467,0.0006571186,0.0002938631],"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":[0.00003218127,0.00001047648,0.0003304795,0.0005343374,0.0000152424,0.00001302248,0.00002007251,0.0001078806,0.0001120074,0.0003678143,0.9970661,0.001390451],"study_design_scores_gemma":[0.00006816873,0.000008079614,0.001561676,0.0001608196,0.00001413113,0.00003181865,0.00005385641,0.0001175121,0.0001677778,0.0007828342,0.997016,0.00001728876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003457931,0.00002562121,0.00004054484,0.0000311379,0.00001119644,0.000004800516,0.9988763,0.0003396632,0.0006363146],"genre_scores_gemma":[0.0001417599,0.00003561014,0.0001934747,0.00005149265,0.000003730848,0.00004063131,0.9988332,0.0001558033,0.0005442642],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8246101,"threshold_uncertainty_score":0.5867378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}