{"id":"W6924533467","doi":"10.15468/dl.hsv9ct","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":[0.0009116768,0.002505355,0.00174912,0.004867842,0.001063536,0.002675085,0.00318178,0.002079682,0.1328617],"category_scores_gemma":[0.005755461,0.0009582471,0.001325511,0.009138041,0.000466758,0.00235225,0.002585599,0.002029396,0.1993791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001770279,"about_ca_system_score_gemma":0.002489868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02445509,"about_ca_topic_score_gemma":0.04159067,"domain_scores_codex":[0.9989718,0.0001327818,0.0001340027,0.0003695954,0.0002355701,0.0001562409],"domain_scores_gemma":[0.9979006,0.0005693709,0.0001867439,0.0005520667,0.0005469162,0.0002442632],"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":[0.00003803462,0.00001368557,0.0003953642,0.000597899,0.00001747929,0.00001898346,0.00002531133,0.0001620662,0.0001383043,0.0004357829,0.9964936,0.001663424],"study_design_scores_gemma":[0.00007869052,0.000009366844,0.001526396,0.0001757383,0.00001560486,0.00004467857,0.0000649256,0.0002265054,0.000233513,0.0008802324,0.9967253,0.00001908103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000570469,0.00004047928,0.00006355812,0.00003831412,0.0000129954,0.00000628357,0.998307,0.0007442266,0.0007300331],"genre_scores_gemma":[0.0001611778,0.00004053653,0.000254475,0.00004192952,0.000002869451,0.00003575948,0.9988039,0.0002044978,0.0004549218],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8671383,"threshold_uncertainty_score":0.4444667,"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."}}