{"id":"W6962392315","doi":"10.15468/dl.wnkx5y","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":[0.0009216939,0.002535672,0.001750488,0.005094866,0.001071337,0.002693946,0.003212238,0.002126581,0.129355],"category_scores_gemma":[0.005784111,0.0009568101,0.001348159,0.009582619,0.0004748846,0.002388101,0.002646392,0.00202561,0.1942121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001828469,"about_ca_system_score_gemma":0.002573664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02582016,"about_ca_topic_score_gemma":0.043238,"domain_scores_codex":[0.9989365,0.0001375906,0.0001412268,0.0003789122,0.0002442487,0.0001615564],"domain_scores_gemma":[0.9978716,0.0005797938,0.0001930512,0.0005534536,0.0005562687,0.0002457618],"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":[0.00003918063,0.00001404931,0.0004091371,0.000629317,0.00001833794,0.00002031585,0.00002703919,0.0001671867,0.0001451798,0.0004627527,0.9963669,0.001700467],"study_design_scores_gemma":[0.00007749303,0.000009216494,0.0015444,0.0001800848,0.00001587365,0.00004524178,0.00006673852,0.0002173064,0.0002311045,0.0008608457,0.9967324,0.00001924415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005672119,0.00004090192,0.00006177701,0.00003790599,0.00001245998,0.000006289308,0.9983394,0.0007115284,0.0007329831],"genre_scores_gemma":[0.0001589505,0.00004111057,0.0002488633,0.00004222297,0.000002759598,0.00003529255,0.9988286,0.0001965567,0.0004456325],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.870645,"threshold_uncertainty_score":0.4327356,"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."}}