{"id":"W6924757069","doi":"10.15468/dl.x2hjz8","title":"Occurrence Download","year":2022,"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":[0.001102472,0.002458825,0.0019113,0.005170416,0.001194785,0.003014998,0.003456086,0.002456242,0.1397105],"category_scores_gemma":[0.005935524,0.001004065,0.001228663,0.0094802,0.0005157738,0.002513603,0.002874367,0.002387019,0.2203318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001839263,"about_ca_system_score_gemma":0.002525045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02070869,"about_ca_topic_score_gemma":0.03667193,"domain_scores_codex":[0.998896,0.0001433518,0.0001330829,0.0004009313,0.0002569945,0.0001696103],"domain_scores_gemma":[0.9977666,0.0006282175,0.0002017374,0.0005743677,0.0005481031,0.0002809349],"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":[0.00003535252,0.00001405379,0.0003923167,0.0006209243,0.00001777218,0.00002064314,0.00002602591,0.0001509663,0.0001505669,0.0004387746,0.9966776,0.001455058],"study_design_scores_gemma":[0.00007898956,0.000008078918,0.001600296,0.0001880004,0.00001580287,0.00004518237,0.00007108983,0.0001856468,0.000224897,0.000850052,0.9967123,0.00001962431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004384635,0.00003339958,0.00005422523,0.00003604911,0.00001123906,0.000005420881,0.9986721,0.0005091265,0.0006347107],"genre_scores_gemma":[0.0001436747,0.00003454272,0.0002185369,0.0000387694,0.000002754909,0.00003712826,0.9989722,0.0001655262,0.0003869388],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8602895,"threshold_uncertainty_score":0.4673781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007950980043285658,"score_gpt":0.2268916208184002,"score_spread":0.2189406407751145,"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."}}