{"id":"W6887069339","doi":"10.15468/dl.nam5rs","title":"Occurrence Download","year":2019,"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); Nova scotia; Range (aeronautics); Data set","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":[0.001039172,0.001994761,0.00157941,0.005906011,0.001005907,0.00274898,0.002783244,0.001717045,0.1985292],"category_scores_gemma":[0.00654635,0.0009616641,0.001174291,0.01141661,0.0004216382,0.002392188,0.002950444,0.00191498,0.2745435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001870416,"about_ca_system_score_gemma":0.002951428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03123716,"about_ca_topic_score_gemma":0.05319313,"domain_scores_codex":[0.9988137,0.0001484103,0.0001544434,0.00040563,0.0002683372,0.0002094033],"domain_scores_gemma":[0.9968629,0.0007521152,0.0002717118,0.0008442714,0.000870578,0.0003985109],"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":[0.0000264101,0.000007246036,0.0002802222,0.0004515107,0.00001233728,0.00001038604,0.0000180143,0.00007807015,0.00009296054,0.0003207018,0.9973698,0.001332286],"study_design_scores_gemma":[0.00004971222,0.000005758506,0.001535332,0.0001606807,0.00001138588,0.00002423691,0.0000510087,0.00008598649,0.0001465374,0.0005857155,0.9973297,0.00001395453],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002939498,0.00002391427,0.00003630702,0.00002885638,0.00001128263,0.000004933949,0.9988068,0.0003496676,0.0007088089],"genre_scores_gemma":[0.0001304312,0.00003429598,0.0001709695,0.00004202176,0.000003653716,0.00003492172,0.9988649,0.0001736807,0.0005451708],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8014708,"threshold_uncertainty_score":0.6641463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}