{"id":"W6924847329","doi":"10.15468/dl.xagzkh","title":"Occurrence Download","year":2023,"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); Software; 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":[0.0008478925,0.001836339,0.001457006,0.00499019,0.001001455,0.002497234,0.002593845,0.002043931,0.151898],"category_scores_gemma":[0.00581367,0.0008514743,0.001281794,0.01007752,0.0004092676,0.002341049,0.002458911,0.001848046,0.2136811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656009,"about_ca_system_score_gemma":0.0023709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02447314,"about_ca_topic_score_gemma":0.03999567,"domain_scores_codex":[0.9989549,0.0001315333,0.0001528958,0.0003506428,0.0002275344,0.0001824347],"domain_scores_gemma":[0.9975458,0.0006647806,0.000226951,0.0006243805,0.0006735658,0.0002645574],"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":[0.00003482271,0.00001159847,0.0005138262,0.0005855825,0.00001441658,0.00001938357,0.00002609332,0.0001382073,0.0001223411,0.0004036746,0.9962773,0.00185269],"study_design_scores_gemma":[0.00006427868,0.000008210543,0.002000341,0.0002007672,0.00001244009,0.00004449079,0.00008714821,0.0001723944,0.0001761657,0.0007232362,0.996493,0.00001743812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004803288,0.00002926633,0.00004933913,0.0000374326,0.00001321566,0.000005077462,0.9987446,0.0004143117,0.0006586463],"genre_scores_gemma":[0.0001871248,0.00003783696,0.0002366224,0.00004839526,0.00000392289,0.00003761059,0.9988306,0.0001395943,0.0004783548],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.848102,"threshold_uncertainty_score":0.5081493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}