{"id":"W6906260700","doi":"10.15468/dl.v9mr2k","title":"Occurrence Download","year":2016,"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); Ailanthus altissima; Range (aeronautics); Feature (linguistics)","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":[0.0009240201,0.002012775,0.001569767,0.005328747,0.001022132,0.00258793,0.002796195,0.002134891,0.1183472],"category_scores_gemma":[0.006131623,0.0008784688,0.001349059,0.01019559,0.0004238886,0.002389227,0.002456221,0.001948435,0.1798213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600154,"about_ca_system_score_gemma":0.002408506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02094428,"about_ca_topic_score_gemma":0.03332959,"domain_scores_codex":[0.9988797,0.0001531519,0.0001603305,0.0003862888,0.0002423649,0.0001781782],"domain_scores_gemma":[0.9975939,0.0006880564,0.0002304438,0.0006469178,0.0005953429,0.000245249],"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":[0.00004060388,0.00001463384,0.0006093292,0.000712125,0.00002028519,0.00002262635,0.00002823416,0.0001797102,0.0001378254,0.0004105033,0.9957212,0.002102943],"study_design_scores_gemma":[0.00007890959,0.00001095326,0.002435556,0.0002476947,0.00001843231,0.00005799222,0.00008935601,0.000248205,0.000210152,0.0008334045,0.9957497,0.00001966121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006705945,0.00004488265,0.00005658843,0.00004353616,0.00001512566,0.000006602694,0.9986287,0.0005015227,0.0006360743],"genre_scores_gemma":[0.0001789605,0.00004043777,0.0001983669,0.00004293369,0.000003601166,0.00004098954,0.9989994,0.0001123904,0.0003829126],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8816528,"threshold_uncertainty_score":0.3959107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}