{"id":"W6924626734","doi":"10.15468/dl.pdna5w","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); Set (abstract data type); Data set","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":[0.001049851,0.002021156,0.001690201,0.00520046,0.001050158,0.002731805,0.002963901,0.002120805,0.1567818],"category_scores_gemma":[0.006141711,0.0009456898,0.001157366,0.0101177,0.0004523628,0.002445433,0.002576143,0.002060557,0.2234655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536374,"about_ca_system_score_gemma":0.002352897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01970327,"about_ca_topic_score_gemma":0.03363314,"domain_scores_codex":[0.9988905,0.0001575154,0.000137603,0.00039564,0.0002396097,0.0001792235],"domain_scores_gemma":[0.9974431,0.0007395564,0.0002359575,0.0006834836,0.0006021658,0.000295821],"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":[0.00003091319,0.00001178438,0.0003776595,0.0005670403,0.00001572161,0.00001562523,0.0000243286,0.0001226205,0.000122142,0.0003946453,0.9969837,0.001333728],"study_design_scores_gemma":[0.00007306341,0.00000796529,0.001812716,0.0001874384,0.0000145535,0.00003836287,0.00007210153,0.0001396519,0.0001891296,0.0008181383,0.9966282,0.00001856366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004091417,0.0000278381,0.00004697028,0.00003316311,0.00001112329,0.000005026434,0.9988375,0.0003785649,0.0006189038],"genre_scores_gemma":[0.0001563171,0.00003220401,0.0001903498,0.00004339611,0.000003348571,0.00004081838,0.9989368,0.0001513971,0.0004453974],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8432182,"threshold_uncertainty_score":0.5244874,"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."}}