{"id":"W4396312989","doi":"10.15468/dl.hvtq6j","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","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":[0.001096759,0.002439688,0.001860358,0.004923036,0.001056918,0.002853033,0.003424201,0.002268005,0.127522],"category_scores_gemma":[0.005517617,0.0009419695,0.00123499,0.009731135,0.0005303422,0.002307616,0.00262556,0.002307372,0.2009529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001852511,"about_ca_system_score_gemma":0.002678336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0229282,"about_ca_topic_score_gemma":0.03658424,"domain_scores_codex":[0.9989291,0.0001446696,0.0001201115,0.000381729,0.0002560909,0.0001681454],"domain_scores_gemma":[0.9977291,0.0006250509,0.0001949935,0.0006175544,0.0005378016,0.0002954615],"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":[0.00004007653,0.00001463478,0.0003676207,0.0005537355,0.00001798808,0.00001847865,0.00002426167,0.0001914132,0.0001433252,0.0004342105,0.9965678,0.001626457],"study_design_scores_gemma":[0.00009022553,0.000009452303,0.001793539,0.0001742543,0.00001622295,0.00004331067,0.00007212599,0.0002717892,0.000285722,0.001081729,0.9961403,0.00002130953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004372259,0.00002991793,0.00005330977,0.00003465355,0.00001015869,0.000005277536,0.9987428,0.0005240153,0.0005561292],"genre_scores_gemma":[0.0001372522,0.00002953539,0.0001945543,0.00003242149,0.000002348811,0.00003386859,0.9990543,0.0001364036,0.0003792705],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.872478,"threshold_uncertainty_score":0.4266037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425799905313966,"score_gpt":0.2070831381025809,"score_spread":0.1928251390494413,"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."}}