{"id":"W6943615318","doi":"10.15468/dl.sygy94","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":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":[0.000937011,0.002487994,0.001743571,0.004922837,0.001075022,0.002684047,0.003230215,0.002080701,0.1294637],"category_scores_gemma":[0.00598253,0.0009490621,0.001341088,0.009252058,0.000472621,0.002417681,0.002637481,0.002023646,0.1944221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001786736,"about_ca_system_score_gemma":0.002570016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02471574,"about_ca_topic_score_gemma":0.04190199,"domain_scores_codex":[0.9989195,0.0001416707,0.0001423856,0.0003864866,0.0002485794,0.0001614723],"domain_scores_gemma":[0.9978181,0.0005934827,0.0001925152,0.0005803657,0.0005633482,0.0002521834],"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":[0.000039718,0.00001402191,0.0004057988,0.0006125238,0.00001817636,0.00001999855,0.00002627637,0.0001674972,0.0001440668,0.0004667238,0.9963743,0.001710955],"study_design_scores_gemma":[0.00007799374,0.000009404975,0.001489477,0.0001748293,0.00001565636,0.00004622263,0.0000664017,0.0002237372,0.0002348964,0.0008971483,0.9967451,0.00001919726],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005844437,0.00004165053,0.00006736132,0.0000405526,0.00001316293,0.000006492494,0.9982569,0.0007544013,0.0007610787],"genre_scores_gemma":[0.0001614658,0.00004112996,0.0002579936,0.00004335598,0.000002817413,0.00003492413,0.9988109,0.000201691,0.0004457574],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8705363,"threshold_uncertainty_score":0.4330993,"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."}}