{"id":"W6962474721","doi":"10.15468/dl.qt2r44","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); Confidentiality; 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":[0.001044981,0.001867824,0.001522253,0.005044754,0.0009526318,0.002747676,0.002762844,0.002000451,0.173508],"category_scores_gemma":[0.006461117,0.0009247886,0.001119454,0.009794267,0.0004339741,0.002423789,0.002586435,0.001914193,0.2351971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001554077,"about_ca_system_score_gemma":0.002357305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02037975,"about_ca_topic_score_gemma":0.03438752,"domain_scores_codex":[0.9989004,0.0001499904,0.0001411475,0.0003858167,0.0002441239,0.0001785638],"domain_scores_gemma":[0.9974044,0.0007448426,0.0002442931,0.0006775864,0.0006324216,0.0002963395],"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":[0.00002549791,0.000009512666,0.0003759714,0.0004728309,0.00001397537,0.00001320479,0.000021425,0.0001164138,0.0001003937,0.0003852674,0.9971344,0.001330983],"study_design_scores_gemma":[0.00005905711,0.000006830699,0.001731848,0.0001816831,0.00001310117,0.00003406644,0.00006652633,0.0001381496,0.0001692817,0.0007756058,0.996808,0.00001580154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003419234,0.0000236334,0.00004205045,0.00003249413,0.00001078324,0.000004395733,0.9989226,0.0003113678,0.0006184696],"genre_scores_gemma":[0.0001531097,0.00003105129,0.0001787514,0.00004239427,0.000003547195,0.00003697644,0.9989261,0.0001437436,0.0004843441],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.826492,"threshold_uncertainty_score":0.5804422,"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."}}