{"id":"W6905637141","doi":"10.15468/dl.snvep2","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); Alien; UniProt","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":[0.001017028,0.001928658,0.00162696,0.005251338,0.001086019,0.002657566,0.00278151,0.002191836,0.1491333],"category_scores_gemma":[0.006397644,0.0009051649,0.001317377,0.01001547,0.0004540025,0.00246418,0.002620041,0.002018966,0.2145918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001687053,"about_ca_system_score_gemma":0.00249268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02302355,"about_ca_topic_score_gemma":0.03578046,"domain_scores_codex":[0.9988494,0.000158947,0.0001517444,0.000401773,0.00025048,0.0001876558],"domain_scores_gemma":[0.9972436,0.0008116057,0.0002402872,0.0007148171,0.0007022975,0.0002873298],"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":[0.00003251309,0.00001310573,0.000411565,0.0006315898,0.00001563732,0.00001738684,0.00002625212,0.0001202951,0.0001327179,0.0003918199,0.9966898,0.001517262],"study_design_scores_gemma":[0.00006959997,0.000009385115,0.002075868,0.0002185532,0.00001538609,0.00003957971,0.00008567166,0.000144806,0.0001968941,0.0007149205,0.996411,0.00001840147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004713421,0.0000306709,0.00004354216,0.00004182208,0.00001350353,0.000006116072,0.9987788,0.0003821281,0.0006562091],"genre_scores_gemma":[0.0001635537,0.00003774428,0.0001913759,0.00004749628,0.000003722926,0.00004267755,0.9989179,0.0001314089,0.0004641092],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8508667,"threshold_uncertainty_score":0.4989005,"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."}}