{"id":"W6962196123","doi":"10.15468/dl.nxf28f","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); Set (abstract data type); Order (exchange)","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":[0.001129185,0.001956478,0.001683904,0.00520644,0.001051633,0.002868996,0.003074637,0.001985904,0.1936944],"category_scores_gemma":[0.006767138,0.0009954277,0.001159071,0.010557,0.0004632108,0.00246894,0.002720694,0.002048539,0.257993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559519,"about_ca_system_score_gemma":0.002452903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02116445,"about_ca_topic_score_gemma":0.03436463,"domain_scores_codex":[0.9988951,0.0001496483,0.0001436321,0.0003817907,0.0002489793,0.0001809336],"domain_scores_gemma":[0.9972683,0.0007767854,0.0002454545,0.0007277937,0.0006770393,0.0003046142],"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":[0.00002539244,0.000009299457,0.0002965696,0.0004991148,0.00001305075,0.00001294169,0.00002201398,0.00009522624,0.00009900083,0.000374433,0.9973195,0.001233586],"study_design_scores_gemma":[0.00006380164,0.000006503913,0.001477057,0.000184263,0.00001308402,0.00003195396,0.00006978336,0.0001136997,0.0001721488,0.0007677572,0.9970834,0.00001652989],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003203166,0.00002247574,0.00004620048,0.00003262884,0.00001113194,0.000005008096,0.9988179,0.0003724071,0.000660182],"genre_scores_gemma":[0.0001446323,0.00003235139,0.0001920646,0.000042132,0.00000339231,0.0000427817,0.9988538,0.0001868464,0.0005019436],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8063056,"threshold_uncertainty_score":0.6479722,"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."}}