{"id":"W6924731133","doi":"10.15468/dl.zk7dvj","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); Capitata; Alien","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":[0.001023081,0.001859924,0.001524266,0.004713061,0.0009738016,0.002523331,0.002683453,0.002074008,0.1577223],"category_scores_gemma":[0.006113688,0.0008813635,0.001189319,0.0092686,0.0004326832,0.002421666,0.00249173,0.002017921,0.2239703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001619478,"about_ca_system_score_gemma":0.002353651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02198778,"about_ca_topic_score_gemma":0.03742791,"domain_scores_codex":[0.9989039,0.000162298,0.0001369573,0.0003812526,0.0002393671,0.0001762804],"domain_scores_gemma":[0.9972573,0.0007992876,0.000248482,0.0007257785,0.0006738863,0.0002953105],"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":[0.00002734737,0.00001128532,0.0003601928,0.0004715681,0.00001287642,0.00001318656,0.00002134364,0.0001203806,0.0000977219,0.00037046,0.9971738,0.001319784],"study_design_scores_gemma":[0.00006665075,0.000008316994,0.001807391,0.0001867264,0.00001258612,0.00003199598,0.00006946357,0.0001494536,0.0001750047,0.0008446321,0.9966305,0.00001726527],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003893283,0.00002347112,0.00004118917,0.00003773392,0.00001127736,0.000005157086,0.9988559,0.0003458217,0.000640431],"genre_scores_gemma":[0.0001540904,0.00003107023,0.0001891035,0.00004635657,0.000003485591,0.00004081604,0.9989092,0.0001398843,0.0004859416],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8422776,"threshold_uncertainty_score":0.5276337,"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."}}