{"id":"W6887230710","doi":"10.15468/dl.ty3jgt","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); Complement (music); Key (lock)","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":[0.0009476132,0.001963526,0.001553106,0.004622262,0.0009993584,0.002452991,0.002781529,0.002131969,0.1543649],"category_scores_gemma":[0.005703219,0.0008843497,0.001222716,0.009176704,0.0004412315,0.002201399,0.002562904,0.001965552,0.2145933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610784,"about_ca_system_score_gemma":0.002334987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02408933,"about_ca_topic_score_gemma":0.03808718,"domain_scores_codex":[0.9990119,0.0001286456,0.0001221275,0.0003435831,0.0002276199,0.0001662125],"domain_scores_gemma":[0.9977464,0.0006272781,0.0002064663,0.0005964896,0.0005553514,0.0002679824],"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":[0.00002888068,0.00001116831,0.0003812804,0.0004935398,0.00001444276,0.00001517956,0.00002502124,0.0001253828,0.0001221229,0.000375061,0.9970039,0.001403969],"study_design_scores_gemma":[0.00007412524,0.000008132462,0.001873129,0.0001850989,0.00001415223,0.00003794014,0.00007479758,0.0001746347,0.0002009611,0.0007535375,0.9965857,0.00001758332],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000442674,0.00002620104,0.00004736064,0.00003667003,0.00001199016,0.0000053974,0.9987667,0.0004250208,0.0006363873],"genre_scores_gemma":[0.0001678167,0.00003013784,0.0002003577,0.00004514179,0.000003192717,0.00004126483,0.9989097,0.0001560623,0.0004462665],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8456351,"threshold_uncertainty_score":0.5164021,"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."}}