{"id":"W6962122164","doi":"10.15468/dl.q8b4tg","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); UniProt","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":[0.001018986,0.002029186,0.001647827,0.004917478,0.001021787,0.00262818,0.002980776,0.002064506,0.160979],"category_scores_gemma":[0.005730459,0.0009442861,0.001193162,0.01008243,0.0004475713,0.002349701,0.002570698,0.002083325,0.2260469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001680331,"about_ca_system_score_gemma":0.002420473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02424286,"about_ca_topic_score_gemma":0.03802106,"domain_scores_codex":[0.9989876,0.0001347195,0.0001275235,0.0003474249,0.0002317823,0.000170997],"domain_scores_gemma":[0.9976373,0.0006689475,0.0002233858,0.0006082014,0.0005909899,0.0002712298],"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":[0.00002884152,0.0000107685,0.0003476935,0.0004996277,0.00001473339,0.00001461648,0.000025021,0.0001196257,0.0001176043,0.000422165,0.9970297,0.001369604],"study_design_scores_gemma":[0.00006630131,0.000006782342,0.001647918,0.0001743912,0.00001358981,0.00003397496,0.0000676542,0.0001386231,0.0001895172,0.0007967543,0.9968472,0.0000173229],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003726448,0.00002444326,0.00004908396,0.0000334429,0.00001113407,0.000004925856,0.9987722,0.0004019802,0.0006654804],"genre_scores_gemma":[0.0001460073,0.00003056777,0.0001917111,0.000041789,0.000003007689,0.00003895612,0.9989436,0.0001686879,0.0004356364],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.839021,"threshold_uncertainty_score":0.5385283,"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."}}