{"id":"W6887084956","doi":"10.15468/dl.swbc6d","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; Alien; Range (aeronautics); State (computer science)","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":[0.0008883085,0.002061166,0.001513624,0.005068814,0.0009589366,0.002417392,0.002556569,0.001920081,0.1595523],"category_scores_gemma":[0.005727962,0.0008823823,0.001174791,0.009950516,0.0004413459,0.002067729,0.002468232,0.001743325,0.2208526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00142903,"about_ca_system_score_gemma":0.002231715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02039316,"about_ca_topic_score_gemma":0.03277328,"domain_scores_codex":[0.9990038,0.0001349153,0.0001274039,0.0003568237,0.0002061601,0.0001708226],"domain_scores_gemma":[0.997644,0.0006728652,0.0002308227,0.0005943791,0.0005910249,0.0002668426],"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":[0.00003305848,0.00001192534,0.0004213138,0.0005520912,0.00001422974,0.00001498266,0.0000221128,0.0001289298,0.0001279378,0.000340662,0.9968377,0.00149501],"study_design_scores_gemma":[0.00007980025,0.00001115399,0.002037678,0.0001920311,0.00001566845,0.00003851292,0.00007118582,0.0001567109,0.0002059924,0.0007602468,0.9964119,0.0000191386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004935827,0.00002785837,0.00003839699,0.00003263733,0.00001222128,0.000005120404,0.9988482,0.0003694209,0.0006167666],"genre_scores_gemma":[0.0001673344,0.00003428378,0.0001864629,0.00004482746,0.000003739605,0.00004189903,0.9989058,0.0001443144,0.000471411],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8404477,"threshold_uncertainty_score":0.5337556,"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."}}