{"id":"W4395499085","doi":"10.15468/dl.3erw89","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":[0.001013685,0.002038637,0.001772513,0.00579306,0.001046581,0.002642879,0.002865327,0.002051057,0.1602835],"category_scores_gemma":[0.006101181,0.000928484,0.001208456,0.01098528,0.0004588512,0.002220829,0.002720733,0.002026265,0.2154945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001706331,"about_ca_system_score_gemma":0.002603241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02390158,"about_ca_topic_score_gemma":0.03841418,"domain_scores_codex":[0.9988371,0.0001448213,0.0001550875,0.0003895563,0.0002702707,0.0002033102],"domain_scores_gemma":[0.9973215,0.0006975941,0.0002648758,0.000642021,0.0007458527,0.0003281306],"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":[0.00003544885,0.00001091126,0.0003920437,0.0006141129,0.00001712147,0.00001520724,0.00002098241,0.0001149515,0.0001253465,0.0003650765,0.9968956,0.001393214],"study_design_scores_gemma":[0.00008883727,0.000008920892,0.00195777,0.0002150997,0.00001645661,0.00003656742,0.0000639128,0.0001326406,0.0001936078,0.0006954678,0.9965733,0.00001747809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003731127,0.00002739588,0.0000331794,0.00002796225,0.000009360976,0.000004828737,0.999011,0.0003069116,0.0005419924],"genre_scores_gemma":[0.00014305,0.00003486883,0.0001517883,0.000041732,0.000003240183,0.00003460355,0.9990664,0.0001262946,0.0003980723],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8397164,"threshold_uncertainty_score":0.5362018,"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."}}