{"id":"W4395790391","doi":"10.15468/dl.94rvgk","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Marine Invertebrate Physiology and Ecology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.0009692956,0.002021276,0.001705003,0.004941512,0.00102862,0.002667552,0.003002514,0.002173015,0.1513748],"category_scores_gemma":[0.006066141,0.0009200426,0.001165574,0.01015657,0.0004588451,0.002229779,0.002548787,0.002101143,0.2054732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001799581,"about_ca_system_score_gemma":0.002674721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02830612,"about_ca_topic_score_gemma":0.04761404,"domain_scores_codex":[0.9989665,0.0001310274,0.0001305942,0.0003506441,0.0002451933,0.0001760519],"domain_scores_gemma":[0.9976203,0.0006487865,0.0002186142,0.0005714788,0.0006440729,0.0002967318],"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":[0.00003176981,0.00001095659,0.0003722897,0.0005435938,0.0000156872,0.00001442606,0.00002219845,0.0001262272,0.0001084628,0.0004052932,0.9970771,0.001271993],"study_design_scores_gemma":[0.00008558297,0.000007043996,0.001671504,0.0001752301,0.00001398378,0.00003152143,0.00006195676,0.0001567854,0.0001802898,0.0007380226,0.9968615,0.00001665601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003785062,0.00002533773,0.00003809223,0.00003135435,0.000009724154,0.000004737073,0.9989265,0.0003440714,0.0005824005],"genre_scores_gemma":[0.0001517152,0.0000321757,0.0001751816,0.000040528,0.000002994808,0.00003681052,0.9989854,0.000143717,0.0004315978],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8486252,"threshold_uncertainty_score":0.5063993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01586814218554426,"score_gpt":0.1991089546069467,"score_spread":0.1832408124214025,"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."}}