{"id":"W6961991207","doi":"10.15468/dl.k46r22","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; Confidentiality","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":[0.0009589631,0.001891845,0.001636074,0.004871114,0.001028984,0.002497066,0.002738971,0.002154714,0.1512472],"category_scores_gemma":[0.005678859,0.0008800242,0.001277833,0.009595344,0.0004515949,0.002226838,0.002443859,0.001952995,0.2164264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00151839,"about_ca_system_score_gemma":0.002211269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02071884,"about_ca_topic_score_gemma":0.03351679,"domain_scores_codex":[0.9989926,0.0001396018,0.000127174,0.0003544794,0.0002210015,0.0001651363],"domain_scores_gemma":[0.9976321,0.0007044839,0.000210261,0.0006162149,0.0005791843,0.0002576999],"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":[0.00003022448,0.00001310384,0.0004150128,0.000595552,0.00001544775,0.00001623934,0.00002425768,0.0001269538,0.0001340027,0.0003377681,0.9966851,0.001606451],"study_design_scores_gemma":[0.00007803779,0.00001030587,0.002319686,0.0002305474,0.00001686945,0.00004241947,0.00008630157,0.0001667965,0.0002089672,0.000714346,0.9961066,0.00001907218],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005228419,0.00003398789,0.00004295853,0.00003881191,0.0000133201,0.000005950898,0.9988179,0.0003734235,0.0006213477],"genre_scores_gemma":[0.0001712022,0.00003708275,0.000189051,0.0000460734,0.000003769757,0.00004499427,0.998933,0.0001259467,0.0004488147],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8487528,"threshold_uncertainty_score":0.5059723,"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."}}