{"id":"W6943424577","doi":"10.15468/dl.yxsufu","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009137744,0.002068868,0.001504234,0.005001273,0.0009714877,0.002449396,0.002585666,0.001962344,0.1581613],"category_scores_gemma":[0.005929183,0.0008972638,0.00120807,0.009913192,0.0004471739,0.002093131,0.002513448,0.001783972,0.2147279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001451559,"about_ca_system_score_gemma":0.002305762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0207871,"about_ca_topic_score_gemma":0.03310024,"domain_scores_codex":[0.9989772,0.0001388941,0.0001310256,0.0003666849,0.0002112065,0.0001750529],"domain_scores_gemma":[0.9976141,0.00068934,0.0002317139,0.0006014265,0.0005949255,0.0002684587],"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":[0.00003460174,0.00001264888,0.0004467638,0.0005826621,0.00001496804,0.00001575128,0.00002332052,0.0001399229,0.000134203,0.0003650386,0.9966782,0.001551891],"study_design_scores_gemma":[0.00008168344,0.00001138031,0.002034262,0.0001981967,0.00001597192,0.00003807119,0.0000729923,0.0001634347,0.0002062807,0.0008007608,0.9963574,0.00001943919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004908779,0.00002750457,0.00003884049,0.00003318799,0.00001226926,0.000005168286,0.9988587,0.0003643688,0.000610873],"genre_scores_gemma":[0.0001686951,0.00003458423,0.0001914324,0.00004574624,0.000003656261,0.0000425107,0.9989156,0.0001388618,0.0004589497],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8418387,"threshold_uncertainty_score":0.5291022,"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."}}