{"id":"W6962122857","doi":"10.15468/dl.t46hfe","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); Range (aeronautics); Download; Set (abstract data type); 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":[0.0009154567,0.002095607,0.001621859,0.005047492,0.001016538,0.002553548,0.002792763,0.001974055,0.1724036],"category_scores_gemma":[0.005521661,0.0009422837,0.001174388,0.009864399,0.000424885,0.002439119,0.00259544,0.001941403,0.2340103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599934,"about_ca_system_score_gemma":0.002256494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02006163,"about_ca_topic_score_gemma":0.03373886,"domain_scores_codex":[0.9989543,0.0001372438,0.0001314476,0.0003731185,0.0002245631,0.0001792004],"domain_scores_gemma":[0.9977434,0.0006145592,0.0002174874,0.0005621318,0.0005946867,0.0002676651],"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":[0.00003107468,0.0000108364,0.0003424916,0.000542212,0.00001421736,0.00001439238,0.00001997941,0.0001120059,0.0001164151,0.0003819876,0.9970576,0.001356763],"study_design_scores_gemma":[0.00007272547,0.000008815225,0.001734512,0.000181636,0.00001399054,0.00003686159,0.00005992981,0.0001303525,0.0001832466,0.0008107958,0.9967488,0.0000183569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003784974,0.00002662119,0.00003764311,0.00003124931,0.00001131527,0.000004493265,0.9988574,0.0003231529,0.0006702967],"genre_scores_gemma":[0.0001403804,0.00003415346,0.0001776758,0.00004531028,0.00000339553,0.00003673316,0.9989281,0.0001413663,0.0004928285],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8275964,"threshold_uncertainty_score":0.5767475,"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."}}