{"id":"W6962441009","doi":"10.15468/dl.w3spaj","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","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":[0.001069433,0.002072091,0.001726138,0.004975674,0.001041932,0.002626552,0.002999287,0.002214646,0.1461669],"category_scores_gemma":[0.005756419,0.0009161819,0.001265632,0.009621554,0.0004713314,0.002344013,0.002572884,0.002121183,0.2116433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678689,"about_ca_system_score_gemma":0.002382047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02200795,"about_ca_topic_score_gemma":0.03565356,"domain_scores_codex":[0.9989305,0.0001504276,0.0001308162,0.0003730833,0.0002370011,0.0001781181],"domain_scores_gemma":[0.9975388,0.0007173687,0.0002218521,0.0006542499,0.0005839761,0.0002837141],"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":[0.00003139203,0.00001268062,0.0003601509,0.0005614423,0.00001601534,0.00001527418,0.00002262904,0.0001294057,0.0001283715,0.0003864367,0.9969844,0.00135186],"study_design_scores_gemma":[0.00008216727,0.000009392925,0.002036484,0.0002099009,0.00001608839,0.0000406145,0.00007390835,0.00016283,0.0002171542,0.0008478973,0.9962839,0.00001959899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004212549,0.0000287788,0.0000434564,0.00003528387,0.00001190151,0.000005330167,0.9988698,0.0003696364,0.000593671],"genre_scores_gemma":[0.0001466974,0.00003168136,0.000176483,0.00004173227,0.000003205309,0.00004010377,0.9990281,0.0001294947,0.0004024493],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8538331,"threshold_uncertainty_score":0.4889768,"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."}}