{"id":"W6962347820","doi":"10.15468/dl.kryfxy","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":[0.0008962409,0.002348144,0.001795735,0.004999684,0.001131712,0.002793951,0.003235606,0.002369094,0.147314],"category_scores_gemma":[0.005414282,0.0008780659,0.001247936,0.009225957,0.0004755394,0.00246274,0.002653992,0.002189343,0.2401352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001814206,"about_ca_system_score_gemma":0.002447478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02260632,"about_ca_topic_score_gemma":0.03795117,"domain_scores_codex":[0.9989833,0.0001296969,0.000124824,0.0003600584,0.0002325844,0.0001695286],"domain_scores_gemma":[0.9979318,0.0005581306,0.0001864764,0.0005309437,0.0005358676,0.0002567241],"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":[0.00003230219,0.00001221371,0.0003504282,0.0005209374,0.00001403005,0.0000179197,0.00002193672,0.0001342265,0.00011589,0.0003804983,0.9969886,0.001410996],"study_design_scores_gemma":[0.00007915031,0.000008846532,0.001573015,0.0001898565,0.00001479944,0.00004672257,0.00007354831,0.0002147302,0.0002230821,0.0009279852,0.9966285,0.00001981925],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004467388,0.0000336773,0.00004948208,0.00003971805,0.00001175265,0.000005227114,0.9986129,0.0005329099,0.0006696208],"genre_scores_gemma":[0.0001483692,0.00003664671,0.0002016411,0.00004524505,0.000003021913,0.00003395624,0.9989238,0.0001544853,0.0004528486],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.852686,"threshold_uncertainty_score":0.4928145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006317391385449951,"score_gpt":0.2307904706186554,"score_spread":0.2244730792332055,"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."}}