{"id":"W6887212853","doi":"10.15468/dl.s9q69a","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":[0.000921568,0.002061829,0.001503946,0.005000258,0.0009728813,0.002445094,0.00260094,0.001929241,0.1669875],"category_scores_gemma":[0.005903164,0.0008976724,0.001179409,0.00990292,0.0004535411,0.002101685,0.002511597,0.001780958,0.223439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001465389,"about_ca_system_score_gemma":0.002277491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02099404,"about_ca_topic_score_gemma":0.0334841,"domain_scores_codex":[0.9989994,0.0001375655,0.0001261912,0.0003562986,0.0002094465,0.0001710293],"domain_scores_gemma":[0.9976278,0.0006926408,0.000227508,0.0005995026,0.0005842345,0.0002683257],"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":[0.00003190077,0.00001166551,0.0004000282,0.0005478503,0.00001391107,0.00001490585,0.00002237423,0.0001304347,0.0001218801,0.0003482237,0.9968817,0.001475245],"study_design_scores_gemma":[0.00007861922,0.00001071496,0.00191179,0.000194065,0.00001504792,0.00003753588,0.00007045217,0.0001515377,0.0001984546,0.0007802537,0.9965328,0.00001868801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004615751,0.00002715303,0.00003877682,0.00003284405,0.00001216197,0.00000515175,0.9988374,0.000370086,0.0006302195],"genre_scores_gemma":[0.000163995,0.00003442342,0.0001867864,0.00004542366,0.000003662214,0.00004306729,0.9989029,0.000148022,0.0004716276],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8330125,"threshold_uncertainty_score":0.5586288,"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."}}