{"id":"W6962255086","doi":"10.15468/dl.tvamkh","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); Download; Range (aeronautics); 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":[0.0009316604,0.001895179,0.001586399,0.005124269,0.00100745,0.00269581,0.002720269,0.001917749,0.1847001],"category_scores_gemma":[0.005993627,0.0009384687,0.001102483,0.01016664,0.0004197884,0.002428641,0.002513377,0.001908491,0.2392474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604903,"about_ca_system_score_gemma":0.002301238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02011401,"about_ca_topic_score_gemma":0.03407568,"domain_scores_codex":[0.9989499,0.0001422065,0.0001381226,0.0003686613,0.0002223615,0.0001787842],"domain_scores_gemma":[0.9975773,0.0006713853,0.000239192,0.0005952889,0.0006448214,0.0002722158],"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":[0.00002817454,0.000009649632,0.0003311123,0.0005295703,0.00001286503,0.00001306886,0.0000200868,0.0001056318,0.0001033807,0.0004085257,0.9970775,0.001360418],"study_design_scores_gemma":[0.00006219342,0.000007399677,0.001544148,0.0001855271,0.00001258099,0.00003100709,0.00005762515,0.0001098337,0.000154754,0.0007858953,0.9970323,0.00001675469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003462414,0.00002556332,0.0000377491,0.00003141744,0.00001087897,0.000004477678,0.9988909,0.0002721543,0.0006921391],"genre_scores_gemma":[0.0001522759,0.00003769094,0.0001845203,0.00004870472,0.000003746396,0.00004227046,0.998794,0.0001440066,0.0005927977],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8152999,"threshold_uncertainty_score":0.6178834,"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."}}