{"id":"W6905779494","doi":"10.15468/dl.r3avsp","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":[0.0009612857,0.001993125,0.001578581,0.004673138,0.0009627513,0.002432069,0.002778591,0.002019801,0.1498644],"category_scores_gemma":[0.005603093,0.000931135,0.001187007,0.009294197,0.0004440784,0.002243742,0.002515135,0.002022021,0.2105181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588604,"about_ca_system_score_gemma":0.002239724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02280205,"about_ca_topic_score_gemma":0.03650216,"domain_scores_codex":[0.9990363,0.0001278013,0.0001227322,0.0003323879,0.0002176376,0.0001631996],"domain_scores_gemma":[0.9977428,0.0006360794,0.0002121014,0.0005962832,0.0005525179,0.0002603225],"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":[0.00002889827,0.00001122646,0.000379127,0.0005202039,0.00001496636,0.00001512485,0.00002641876,0.0001356293,0.000125736,0.0003931468,0.9968628,0.001486856],"study_design_scores_gemma":[0.00006943112,0.000007497896,0.001782955,0.0001790706,0.00001367056,0.00003557312,0.00007381551,0.000166112,0.0001996449,0.0007394004,0.9967153,0.00001748148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004453505,0.00002546177,0.00005052564,0.00003427573,0.00001169739,0.000005402317,0.998753,0.0004452165,0.0006299274],"genre_scores_gemma":[0.0001613848,0.00003012966,0.0002120528,0.00004057649,0.000003030049,0.00004124749,0.9989309,0.0001660135,0.0004146431],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8501356,"threshold_uncertainty_score":0.5013463,"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."}}