{"id":"W6887116623","doi":"10.15468/dl.nxqha6","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); Data set","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":[0.0009675366,0.001995853,0.001650701,0.004875818,0.00094427,0.002475903,0.002819341,0.002061279,0.1469695],"category_scores_gemma":[0.005549896,0.0009109674,0.001139292,0.009746091,0.0004359398,0.002259209,0.002424278,0.001941315,0.2113218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534437,"about_ca_system_score_gemma":0.002187959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0208288,"about_ca_topic_score_gemma":0.03549863,"domain_scores_codex":[0.9990025,0.0001413322,0.0001271961,0.0003493041,0.0002178071,0.0001618422],"domain_scores_gemma":[0.9977446,0.0006260524,0.0002191115,0.0005871358,0.0005514909,0.000271653],"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":[0.00003041508,0.00001206939,0.0003846538,0.0005566773,0.0000154785,0.00001523371,0.00002289303,0.0001290311,0.0001189397,0.0003582213,0.9970033,0.001353125],"study_design_scores_gemma":[0.00008184894,0.000008713966,0.002026329,0.0001934725,0.00001482031,0.0000382041,0.00007348922,0.0001547648,0.000187885,0.0007567627,0.9964451,0.00001847606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004296232,0.00002795585,0.00004185196,0.00003207141,0.00001059106,0.000005035296,0.9989108,0.0003410044,0.000587787],"genre_scores_gemma":[0.0001614075,0.0000318064,0.0001800662,0.00004065025,0.000003195689,0.00004018114,0.9990045,0.0001252367,0.0004129582],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8530305,"threshold_uncertainty_score":0.491662,"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."}}