{"id":"W6962037729","doi":"10.15468/dl.qb3gyw","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":"Matching (statistics); Kleptoparasitism; Range (aeronautics); Collectable","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":["insufficient_payload"],"category_scores_codex":[0.0007682648,0.002539109,0.002084545,0.007060843,0.001215845,0.003472258,0.002338963,0.002235509,0.3323842],"category_scores_gemma":[0.00556345,0.0008604984,0.001767859,0.01010984,0.0003868673,0.003096124,0.003507923,0.001917968,0.4197056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546353,"about_ca_system_score_gemma":0.002396398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02231362,"about_ca_topic_score_gemma":0.04014321,"domain_scores_codex":[0.9988511,0.0001215596,0.0001520975,0.0004179232,0.0002458902,0.000211466],"domain_scores_gemma":[0.9976212,0.0006115239,0.0001867028,0.0005726302,0.0006491269,0.0003587928],"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":[0.00005099546,0.00001623812,0.0003485226,0.0006023723,0.00001386914,0.00002221831,0.00002645466,0.000121861,0.0001200232,0.0004187871,0.9945807,0.003678004],"study_design_scores_gemma":[0.00007733884,0.00001425924,0.001539119,0.0001918911,0.00001593784,0.00005411034,0.0000837201,0.0003208863,0.000158874,0.001081693,0.9964373,0.00002481121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006751244,0.00006578087,0.0001106115,0.00006445345,0.00003172929,0.0000112704,0.995775,0.001688321,0.002185229],"genre_scores_gemma":[0.0002821353,0.00007885061,0.0005461231,0.0001137923,0.00001076442,0.00004976969,0.9971333,0.0004025035,0.001382817],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6676158,"threshold_uncertainty_score":0.952273,"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."}}