{"id":"W6962180394","doi":"10.15468/dl.qvhhvf","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":"Download; Matching (statistics); Range (aeronautics); State (computer science); Confidentiality","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":[0.00103982,0.001982309,0.001570763,0.005093979,0.001030681,0.002555495,0.002953566,0.002134047,0.155161],"category_scores_gemma":[0.005884583,0.0009289268,0.001189182,0.009847977,0.0004704449,0.002429476,0.002558179,0.002130868,0.2164582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001601093,"about_ca_system_score_gemma":0.002279596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02029144,"about_ca_topic_score_gemma":0.03490614,"domain_scores_codex":[0.9989172,0.0001566125,0.0001384307,0.0003798945,0.0002332745,0.0001745835],"domain_scores_gemma":[0.9973969,0.0007298707,0.0002429614,0.0007097789,0.0006281004,0.000292314],"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":[0.00002720378,0.00001240508,0.0003578679,0.0004994072,0.00001452615,0.00001436692,0.00002352939,0.0001312616,0.0001082618,0.0003934662,0.9970679,0.0013498],"study_design_scores_gemma":[0.00006981553,0.000007849237,0.001683274,0.00017355,0.00001336351,0.0000357206,0.00007484123,0.0001538829,0.000174626,0.0007932744,0.9968022,0.00001751376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004408563,0.00002609507,0.00004902373,0.00003679251,0.00001302637,0.000005577287,0.9988128,0.0003587739,0.0006538405],"genre_scores_gemma":[0.0001556822,0.00003143914,0.0002059945,0.00004349962,0.000003517079,0.00004328361,0.998914,0.0001380264,0.0004644898],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.844839,"threshold_uncertainty_score":0.5190651,"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."}}