{"id":"W6887093424","doi":"10.15468/dl.pnwmpf","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":"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":[0.0009431092,0.00188551,0.00148282,0.004742079,0.0009714831,0.00249605,0.002633597,0.002029016,0.1600708],"category_scores_gemma":[0.005811793,0.0008697138,0.001217941,0.008936067,0.0004362225,0.002338933,0.002518853,0.001898513,0.227569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502338,"about_ca_system_score_gemma":0.002176578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02119107,"about_ca_topic_score_gemma":0.03357681,"domain_scores_codex":[0.9990109,0.0001362765,0.0001253898,0.0003511421,0.0002122056,0.0001639984],"domain_scores_gemma":[0.9975156,0.0007104572,0.0002223639,0.0006562683,0.0006249967,0.0002703951],"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":[0.00002767026,0.00001205101,0.0004181494,0.0005165553,0.00001371001,0.00001536491,0.00002380717,0.0001295091,0.0001142843,0.0003582139,0.996881,0.001489639],"study_design_scores_gemma":[0.00006798179,0.000008960798,0.002024002,0.0001984789,0.00001388193,0.0000372717,0.00008324007,0.0001677087,0.000185731,0.0007384652,0.9964567,0.00001746388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004741358,0.00002675326,0.0000460127,0.00003949014,0.00001386683,0.000005746371,0.9987632,0.000403275,0.0006543158],"genre_scores_gemma":[0.0001735192,0.00003379054,0.0002065792,0.00004805413,0.000004047611,0.00004295852,0.9988444,0.0001490963,0.0004975842],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8399292,"threshold_uncertainty_score":0.5354903,"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."}}