{"id":"W6906191829","doi":"10.15468/dl.yffg3x","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); Identification (biology); Alien","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":[0.0009693317,0.001880247,0.001548865,0.004916945,0.0009925715,0.00250175,0.002651755,0.002067942,0.1538949],"category_scores_gemma":[0.006073427,0.0008990549,0.001233739,0.0094743,0.0004461176,0.002333559,0.002563487,0.001935411,0.2123626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001494904,"about_ca_system_score_gemma":0.002272292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02128686,"about_ca_topic_score_gemma":0.03229002,"domain_scores_codex":[0.9990106,0.0001370138,0.000129581,0.0003460615,0.000211832,0.0001648754],"domain_scores_gemma":[0.9974191,0.00076609,0.0002335345,0.0006803207,0.0006215015,0.0002794419],"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":[0.00003165848,0.00001258305,0.0004326161,0.0006133365,0.00001554943,0.00001689741,0.00002707444,0.0001439071,0.0001341752,0.0003730987,0.9965913,0.001607768],"study_design_scores_gemma":[0.00007588151,0.000009742324,0.002100557,0.0002195572,0.00001534183,0.00003985738,0.00008824802,0.0001761932,0.0001956158,0.0007582267,0.9963021,0.00001865797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004851491,0.00002781923,0.00004749513,0.00003956826,0.00001393514,0.000005869132,0.9988042,0.0004149582,0.0005976515],"genre_scores_gemma":[0.0001735971,0.00003569835,0.0002137803,0.00004755903,0.000003835596,0.00004503636,0.9988772,0.0001511811,0.0004520598],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8461051,"threshold_uncertainty_score":0.5148297,"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."}}