{"id":"W6887257903","doi":"10.15468/dl.tmh9vx","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); Data set; Set (abstract data type)","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":[0.0009481474,0.001859357,0.001535596,0.004761776,0.0008854564,0.002365315,0.002555444,0.001838551,0.1782088],"category_scores_gemma":[0.00539214,0.0008600303,0.00116265,0.01012805,0.0004040859,0.002221124,0.002448468,0.001882311,0.2306057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564328,"about_ca_system_score_gemma":0.00231489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02295862,"about_ca_topic_score_gemma":0.03750596,"domain_scores_codex":[0.9990459,0.0001259494,0.0001202033,0.0003225113,0.0002236287,0.0001617865],"domain_scores_gemma":[0.9977692,0.0006024874,0.0002120939,0.0005790968,0.0005685387,0.0002685937],"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":[0.00002803282,0.000009347718,0.0003388835,0.0004633206,0.00001394386,0.00001264096,0.00001973277,0.0001240759,0.0001103708,0.0003588526,0.9971548,0.001365892],"study_design_scores_gemma":[0.00006976658,0.000007928516,0.00187349,0.0001820532,0.00001353193,0.00003318278,0.00006571018,0.0001560656,0.0002031287,0.0008642496,0.9965138,0.00001715157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003252547,0.00002109398,0.00004131942,0.00002873849,0.000009369023,0.000004293966,0.9989253,0.0003579677,0.0005793431],"genre_scores_gemma":[0.0001581773,0.00003010875,0.0001867671,0.00004238292,0.000003107495,0.00003529597,0.9989244,0.000158181,0.0004614591],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8217912,"threshold_uncertainty_score":0.5961677,"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."}}