{"id":"W6943249293","doi":"10.15468/dl.llxaxw","title":"Occurrence Download","year":2017,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Fraxinus; Identification (biology)","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":[0.0009222114,0.001945271,0.001615161,0.004960616,0.0009852725,0.002791039,0.002999203,0.002055601,0.1370987],"category_scores_gemma":[0.006053283,0.0008323257,0.001242794,0.009897802,0.0004306,0.002361806,0.002544454,0.002042125,0.2127452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001667395,"about_ca_system_score_gemma":0.002393083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.022556,"about_ca_topic_score_gemma":0.03520836,"domain_scores_codex":[0.9990185,0.0001309899,0.0001206115,0.000342792,0.0002186815,0.0001683998],"domain_scores_gemma":[0.9978001,0.0006169123,0.0002031563,0.0005613794,0.0005705821,0.0002478331],"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":[0.00002641017,0.0000107131,0.0004097346,0.0005132321,0.00001532507,0.00001476029,0.00002213559,0.0001243331,0.00009331866,0.000373942,0.9969873,0.001408926],"study_design_scores_gemma":[0.00007122727,0.00000814177,0.00187747,0.0002112426,0.00001598241,0.00004024287,0.00007856945,0.000197469,0.0001808742,0.0008365379,0.9964645,0.00001773581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000451644,0.00003720852,0.00004628736,0.00004312511,0.00001338516,0.000005307711,0.9987686,0.0004181358,0.0006226909],"genre_scores_gemma":[0.0001604741,0.00004027277,0.0001746749,0.00004311121,0.00000357583,0.00003821307,0.9989705,0.0001275554,0.0004416287],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8629013,"threshold_uncertainty_score":0.4586408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}