{"id":"W6924449109","doi":"10.15468/dl.q43z9b","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); Data set; Set (abstract data type)","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":[0.001140032,0.001945126,0.001662835,0.005379904,0.001018989,0.002713753,0.002839323,0.002065722,0.161781],"category_scores_gemma":[0.006793521,0.0009624748,0.001165675,0.01050351,0.0004718117,0.002332096,0.002591269,0.002018445,0.2222749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653182,"about_ca_system_score_gemma":0.002508797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02246545,"about_ca_topic_score_gemma":0.03553712,"domain_scores_codex":[0.9988181,0.0001621176,0.0001632124,0.0004078297,0.0002637597,0.000184922],"domain_scores_gemma":[0.9970771,0.0008649448,0.0002816326,0.0007412873,0.0007294579,0.0003055869],"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":[0.00002832773,0.00001058667,0.0003976469,0.0005892945,0.00001552264,0.00001573729,0.00002568592,0.0001234774,0.0001114088,0.0003884184,0.9969767,0.001317177],"study_design_scores_gemma":[0.00007026301,0.000007414288,0.001918935,0.0002077796,0.00001530113,0.0000381253,0.00007948156,0.0001402246,0.0001780891,0.0007532605,0.9965725,0.00001868779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003384799,0.00002282303,0.00004108329,0.00003102614,0.00001025538,0.000004744519,0.9990008,0.0003093466,0.0005460026],"genre_scores_gemma":[0.0001541394,0.00003209632,0.0001946207,0.00004087294,0.000003324121,0.00004366219,0.9989537,0.000145229,0.0004323438],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.838219,"threshold_uncertainty_score":0.5412112,"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."}}