{"id":"W6905815483","doi":"10.15468/dl.p6erh4","title":"Occurrence Download","year":2024,"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); Confidentiality; Identification (biology)","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":[0.0008572715,0.001873894,0.001531247,0.005401087,0.001016742,0.002338577,0.002617575,0.001919832,0.1555531],"category_scores_gemma":[0.005216507,0.0008985817,0.001100826,0.010427,0.000455427,0.002244962,0.002588544,0.001929504,0.2272054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001756575,"about_ca_system_score_gemma":0.002452797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02644029,"about_ca_topic_score_gemma":0.0495092,"domain_scores_codex":[0.9990452,0.0001177812,0.0001178189,0.00032297,0.0002222716,0.0001739753],"domain_scores_gemma":[0.9978043,0.0005514275,0.0002113762,0.000568106,0.000594109,0.000270645],"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":[0.00002523595,0.00001023194,0.0003945509,0.0005222336,0.00001330465,0.00001541661,0.00002871473,0.0001205217,0.0001321077,0.0003995299,0.99674,0.001598046],"study_design_scores_gemma":[0.00004776509,0.000006023639,0.001591148,0.0001629891,0.0000108199,0.00003054637,0.00007361777,0.00011043,0.0001565669,0.0005455654,0.99725,0.00001448285],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004664622,0.00002787833,0.00004283846,0.00003254593,0.0000119688,0.000005185967,0.9986817,0.0003589869,0.0007923026],"genre_scores_gemma":[0.0001552258,0.00003293105,0.0002052685,0.00003582826,0.00000303777,0.00003701062,0.9988525,0.0001460336,0.0005321703],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8444468,"threshold_uncertainty_score":0.5203772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}