{"id":"W6943409821","doi":"10.15468/dl.v39wt7","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; The Internet","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":[0.001016322,0.001918219,0.001542083,0.004885605,0.001096416,0.002596418,0.002907627,0.002267763,0.1516781],"category_scores_gemma":[0.005984323,0.0008867452,0.001252022,0.009152124,0.0004619008,0.002458701,0.002611176,0.002131663,0.2242939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626797,"about_ca_system_score_gemma":0.002382575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02165124,"about_ca_topic_score_gemma":0.03726037,"domain_scores_codex":[0.9989196,0.0001488448,0.000127227,0.0003775517,0.0002458548,0.0001809061],"domain_scores_gemma":[0.9974443,0.0007011307,0.0002215944,0.0007039536,0.0006389925,0.0002900532],"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":[0.00002800267,0.00001264281,0.0003726817,0.0004518426,0.00001292424,0.00001483969,0.0000226992,0.0001146813,0.0001196407,0.000383762,0.9970775,0.001388814],"study_design_scores_gemma":[0.00006426188,0.000008507462,0.001862988,0.0001829134,0.0000128244,0.00003705502,0.00007641855,0.0001471326,0.0001930109,0.0008060655,0.996591,0.00001796468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004865701,0.0000279835,0.00004821647,0.00004302549,0.000013717,0.000006085372,0.9986761,0.000414025,0.0007222014],"genre_scores_gemma":[0.0001607547,0.00003110529,0.0002068923,0.00004819014,0.00000354796,0.00004244913,0.9988804,0.0001432374,0.0004834853],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8483219,"threshold_uncertainty_score":0.5074138,"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."}}