{"id":"W6943495021","doi":"10.15468/dl.x6se6s","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":[0.001049266,0.001919008,0.00159775,0.005156383,0.001062586,0.002555775,0.00283503,0.002129418,0.1532001],"category_scores_gemma":[0.006086891,0.0009093561,0.001274587,0.01007317,0.0004758486,0.002262793,0.002571021,0.001999818,0.2191222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603301,"about_ca_system_score_gemma":0.002462244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02236653,"about_ca_topic_score_gemma":0.03636664,"domain_scores_codex":[0.9989218,0.0001494978,0.0001342178,0.0003709568,0.0002447259,0.0001789331],"domain_scores_gemma":[0.9973531,0.0007806525,0.0002353232,0.0007120137,0.0006347909,0.000284198],"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":[0.00002957446,0.00001240335,0.0003924348,0.0005703996,0.00001492946,0.00001621125,0.00002580692,0.0001218938,0.0001297402,0.0003652955,0.9968094,0.001511861],"study_design_scores_gemma":[0.00007022892,0.000008904888,0.002068499,0.0002054923,0.00001467755,0.00003958783,0.00008231305,0.0001383176,0.0002006301,0.0007112977,0.9964424,0.00001761368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004911013,0.0000303553,0.00004520679,0.00003890158,0.00001308045,0.000005974184,0.9987551,0.0004030215,0.00065916],"genre_scores_gemma":[0.0001679169,0.00003554179,0.0002010099,0.00004627493,0.000003588251,0.00004662586,0.9988764,0.0001492706,0.0004734207],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8467999,"threshold_uncertainty_score":0.5125054,"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."}}