{"id":"W6887099852","doi":"10.15468/dl.qvf3w6","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; The Internet","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":[0.001024021,0.0018942,0.001541009,0.004667663,0.001017872,0.00253257,0.002771635,0.002119604,0.1557958],"category_scores_gemma":[0.006005958,0.000863772,0.001211069,0.009124392,0.000442786,0.002448646,0.002503201,0.002086316,0.2298674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605979,"about_ca_system_score_gemma":0.002349555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02137152,"about_ca_topic_score_gemma":0.03814267,"domain_scores_codex":[0.9989034,0.0001646655,0.0001314341,0.0003881494,0.0002398656,0.0001724709],"domain_scores_gemma":[0.9973104,0.0007808896,0.0002352093,0.0007294097,0.0006501884,0.0002939241],"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":[0.00002645851,0.00001150815,0.0003369316,0.0004473284,0.00001245029,0.00001244508,0.00002033934,0.0001145053,0.00009602556,0.0003554163,0.9972595,0.001307122],"study_design_scores_gemma":[0.00006563929,0.000008530795,0.001735964,0.0001789228,0.00001259353,0.00003205668,0.00006782575,0.0001500801,0.0001743092,0.0008454307,0.9967117,0.00001704823],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004179703,0.00002683015,0.00004439662,0.00004019624,0.00001244344,0.000005334445,0.9987871,0.0003741522,0.0006677803],"genre_scores_gemma":[0.0001540223,0.00003223168,0.0001948007,0.00004719427,0.000003653099,0.00004065356,0.9988839,0.0001404735,0.0005030857],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8442042,"threshold_uncertainty_score":0.5211889,"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."}}