{"id":"W6924255647","doi":"10.15468/dl.bengfx","title":"Occurrence Download","year":2024,"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); Listing (finance); Range (aeronautics); Order (exchange)","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":[0.00120791,0.002050359,0.001762621,0.005675027,0.001082198,0.002906536,0.003035274,0.001930063,0.2217185],"category_scores_gemma":[0.007541871,0.001063193,0.001154316,0.01048919,0.000482283,0.002584653,0.003066489,0.002034043,0.2689519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751208,"about_ca_system_score_gemma":0.002650697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02214785,"about_ca_topic_score_gemma":0.03551864,"domain_scores_codex":[0.9989324,0.0001380072,0.0001352961,0.0003593893,0.0002460852,0.0001887406],"domain_scores_gemma":[0.9971725,0.0008115757,0.0002636146,0.0007022648,0.000723903,0.0003260134],"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":[0.00002681588,0.000008277009,0.000316463,0.000564085,0.00001376356,0.00001288337,0.00002395882,0.00008801556,0.00009860735,0.0003914889,0.9970932,0.001362384],"study_design_scores_gemma":[0.00006237248,0.000005857567,0.001464862,0.000219565,0.00001331823,0.00002914354,0.00006144831,0.00009260411,0.0001696804,0.0008120551,0.9970529,0.00001627175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002313697,0.00001813172,0.00003763895,0.00002633779,0.000008415117,0.000004586321,0.9989042,0.0003424537,0.0006351098],"genre_scores_gemma":[0.0001423989,0.00003267074,0.0002085217,0.00004465194,0.000003269223,0.00004841794,0.9988014,0.0002249012,0.0004938467],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7782815,"threshold_uncertainty_score":0.7417225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}