{"id":"W6924569652","doi":"10.15468/dl.rt6ace","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); Order (exchange)","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":[0.001060848,0.001955419,0.001636274,0.005372209,0.001051646,0.002807798,0.002888213,0.002112367,0.1652693],"category_scores_gemma":[0.006354116,0.0009403438,0.00121084,0.01018343,0.0004541126,0.002572906,0.002639821,0.002103974,0.2279137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158118,"about_ca_system_score_gemma":0.002303434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0190425,"about_ca_topic_score_gemma":0.03171674,"domain_scores_codex":[0.9988346,0.0001647327,0.0001508485,0.0004129296,0.0002480147,0.0001889621],"domain_scores_gemma":[0.9973348,0.0007855732,0.0002461135,0.0006954246,0.0006348038,0.0003032814],"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":[0.0000287281,0.00001130773,0.0003661443,0.0005575994,0.00001498482,0.00001497562,0.00002286704,0.0001180956,0.0001119458,0.0003948167,0.9970234,0.001335133],"study_design_scores_gemma":[0.00006749589,0.000007949194,0.001701486,0.0001976793,0.00001445588,0.00003707584,0.00007030427,0.0001423951,0.0001654429,0.0007936424,0.9967849,0.00001714904],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003984585,0.00002850331,0.00004469057,0.00003732128,0.00001267857,0.000005068291,0.9988525,0.0003306651,0.000648779],"genre_scores_gemma":[0.0001517376,0.00003533208,0.0001841205,0.00004675173,0.000003777438,0.00003991454,0.9989088,0.00013964,0.0004900591],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8347307,"threshold_uncertainty_score":0.5528808,"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."}}