{"id":"W6962361799","doi":"10.15468/dl.xfpph5","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); State (computer science); Identification (biology)","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":[0.0009190115,0.002115414,0.001565672,0.005055281,0.0009839156,0.002465715,0.002762502,0.00193323,0.1550786],"category_scores_gemma":[0.005878181,0.0009496617,0.001195755,0.01024087,0.0004528966,0.002249012,0.002621956,0.001936443,0.2128561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498778,"about_ca_system_score_gemma":0.002257273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0205275,"about_ca_topic_score_gemma":0.03488447,"domain_scores_codex":[0.9989445,0.0001418757,0.0001317799,0.0003862114,0.0002215057,0.0001741439],"domain_scores_gemma":[0.9976248,0.000654188,0.0002263456,0.0006206647,0.0005922933,0.0002818088],"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":[0.00003268767,0.00001142804,0.0003903855,0.0005398141,0.00001484549,0.00001424023,0.00002274189,0.000130546,0.0001202056,0.0003601456,0.9969145,0.001448588],"study_design_scores_gemma":[0.00007711424,0.000009764337,0.001901418,0.0001802351,0.00001504421,0.0000387436,0.0000689908,0.0001524858,0.0001906053,0.0008085708,0.9965383,0.00001872447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004743953,0.00002779087,0.00004260899,0.00003223017,0.00001255299,0.000004806393,0.998841,0.000375129,0.0006164268],"genre_scores_gemma":[0.0001521375,0.00003287303,0.0001919558,0.00004224046,0.000003405862,0.00003904969,0.9989335,0.0001490176,0.0004558716],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8449214,"threshold_uncertainty_score":0.5187897,"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."}}