{"id":"W6924657023","doi":"10.15468/dl.tsc2ti","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":"Download; Matching (statistics); Scomber; Range (aeronautics); 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":[0.0009576405,0.00191932,0.001602424,0.005550364,0.0008973026,0.002538051,0.002755976,0.001901119,0.1404683],"category_scores_gemma":[0.005697906,0.000852676,0.001161825,0.01073707,0.0004140413,0.002129961,0.002618,0.001869487,0.1985102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001601253,"about_ca_system_score_gemma":0.002415059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0210113,"about_ca_topic_score_gemma":0.03539691,"domain_scores_codex":[0.9989195,0.000142113,0.0001511201,0.0003605121,0.0002427998,0.0001840334],"domain_scores_gemma":[0.9976431,0.000592214,0.0002614406,0.0006262834,0.0005940725,0.0002829834],"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":[0.00003261448,0.00001141146,0.0004371942,0.0005877564,0.00001824993,0.0000154616,0.00002317172,0.0001314475,0.0001216313,0.0004108461,0.9967105,0.001499612],"study_design_scores_gemma":[0.00007577855,0.000008234878,0.002170094,0.0002055514,0.00001617749,0.00003774553,0.00006341458,0.0001397703,0.000190314,0.0007694373,0.9963061,0.00001730818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004323521,0.00002984984,0.00003748171,0.00003000796,0.000009916219,0.000004932794,0.9989454,0.0003146363,0.0005845622],"genre_scores_gemma":[0.0001530915,0.0000332017,0.0001544692,0.00003790445,0.00000306081,0.00003243903,0.9991048,0.0001033887,0.0003776418],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8595317,"threshold_uncertainty_score":0.4699133,"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."}}