{"id":"W6962086378","doi":"10.15468/dl.pyr4ax","title":"Occurrence Download","year":2015,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sequoia; Liquidambar styraciflua; Pinus <genus>; Range (aeronautics); Picea abies","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":[0.0007270337,0.002741561,0.002186728,0.007168678,0.001499795,0.003874005,0.002963125,0.002805351,0.2265751],"category_scores_gemma":[0.005887124,0.0009003986,0.001789458,0.01103325,0.0004254254,0.004392134,0.00348536,0.002216042,0.3402396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001788464,"about_ca_system_score_gemma":0.002427923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01942321,"about_ca_topic_score_gemma":0.03584141,"domain_scores_codex":[0.9987463,0.0001533963,0.0001889422,0.0004486767,0.0002597195,0.000202971],"domain_scores_gemma":[0.9978701,0.0005653644,0.000174953,0.0005082353,0.0006218454,0.0002594193],"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":[0.0000598384,0.0000171192,0.0003704196,0.0007774762,0.00001584059,0.00003719716,0.00002868552,0.0001204858,0.0001300293,0.0005443646,0.9942448,0.003653787],"study_design_scores_gemma":[0.00005492254,0.00001310456,0.001119717,0.0001973654,0.0000143796,0.00007107933,0.00009092728,0.0002902016,0.0001554757,0.00113044,0.9968426,0.00001973421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001051488,0.0001288137,0.0001572491,0.0001028406,0.00004126651,0.00001520557,0.995089,0.001827116,0.002533244],"genre_scores_gemma":[0.000305522,0.0001038626,0.0004909991,0.0001100717,0.00001122493,0.00005024082,0.9972952,0.0003332798,0.001299598],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7734249,"threshold_uncertainty_score":0.7579691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}