{"id":"W6887330054","doi":"10.15468/dl.xu62h4","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); Ophiostoma; Alien; Range (aeronautics)","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":[0.0009499708,0.002068267,0.001592627,0.004878678,0.0009940369,0.002547532,0.002686893,0.001989746,0.1589043],"category_scores_gemma":[0.006159979,0.0009173187,0.001234846,0.009681809,0.000433259,0.002220069,0.002467419,0.00189281,0.2091691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559977,"about_ca_system_score_gemma":0.002326299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02172914,"about_ca_topic_score_gemma":0.03452495,"domain_scores_codex":[0.998958,0.0001398417,0.0001309294,0.0003776512,0.0002222984,0.0001712971],"domain_scores_gemma":[0.9976007,0.0007125224,0.0002266987,0.0005919475,0.0006017799,0.0002663916],"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":[0.00003389182,0.00001232311,0.0004015587,0.000595873,0.00001565185,0.0000158829,0.00002251189,0.0001381479,0.0001269328,0.0003778877,0.9967806,0.001478749],"study_design_scores_gemma":[0.00008076007,0.00001031102,0.00190729,0.0002020185,0.00001605792,0.00003799125,0.00006769865,0.0001643629,0.0001967449,0.0008194784,0.9964781,0.00001923507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004351423,0.00002756445,0.00004145221,0.00003531651,0.00001199139,0.000005215494,0.9988456,0.0003771491,0.0006122896],"genre_scores_gemma":[0.0001642386,0.00003558316,0.0001999879,0.00004806465,0.00000357125,0.00004293758,0.9988773,0.0001531766,0.0004751218],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8410957,"threshold_uncertainty_score":0.5315877,"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."}}