{"id":"W6943519916","doi":"10.15468/dl.u6h8vz","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; Alien; Range (aeronautics); State (computer science)","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":[0.0009469624,0.002002632,0.001545887,0.005117066,0.0009789664,0.002502969,0.002638515,0.001949657,0.1688765],"category_scores_gemma":[0.006044819,0.0009086957,0.00120388,0.01009423,0.0004535909,0.002169208,0.002556632,0.001782767,0.2217562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477888,"about_ca_system_score_gemma":0.002267317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02037209,"about_ca_topic_score_gemma":0.03239415,"domain_scores_codex":[0.9989715,0.0001409938,0.0001318428,0.0003671802,0.000212214,0.0001763179],"domain_scores_gemma":[0.9975773,0.0007015947,0.000233146,0.0006143901,0.0006005124,0.0002729832],"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":[0.00003273783,0.00001167724,0.0004174057,0.0005782967,0.00001451267,0.00001484511,0.000022984,0.0001352339,0.0001239332,0.000360191,0.9967319,0.001556315],"study_design_scores_gemma":[0.00007686685,0.00001037227,0.00188891,0.0001944864,0.00001478342,0.00003539729,0.00007149168,0.0001484506,0.0001820333,0.000777124,0.9965817,0.00001820839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004706155,0.00002744105,0.0000390686,0.00003370186,0.00001251827,0.00000516414,0.9988418,0.0003663394,0.0006269036],"genre_scores_gemma":[0.0001717447,0.00003575361,0.0001955546,0.00004707439,0.000003797742,0.0000436013,0.9988753,0.0001519507,0.0004752112],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8311235,"threshold_uncertainty_score":0.5649482,"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."}}