{"id":"W4396398289","doi":"10.15468/dl.hchzaa","title":"Occurrence Download","year":2015,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.0008489605,0.002123941,0.001522427,0.005534393,0.0009502586,0.00226061,0.002836991,0.001935645,0.1398117],"category_scores_gemma":[0.004755033,0.0008534896,0.00123056,0.009557039,0.0004114045,0.002228912,0.002675644,0.001827345,0.2134442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158694,"about_ca_system_score_gemma":0.002272657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02773518,"about_ca_topic_score_gemma":0.0486821,"domain_scores_codex":[0.9989489,0.0001239885,0.0001318492,0.0003446769,0.0002655047,0.0001851554],"domain_scores_gemma":[0.9979513,0.000445473,0.0001796363,0.0005563561,0.0006128476,0.0002544521],"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":[0.00002682325,0.00001074706,0.0003464019,0.0004389038,0.00001474852,0.00001490682,0.0000199873,0.0001087618,0.0001153215,0.0003081327,0.997008,0.001587192],"study_design_scores_gemma":[0.00006268581,0.000007955368,0.001997414,0.0001576806,0.00001301073,0.00003833339,0.00006480935,0.0001519457,0.0001986829,0.0005513115,0.9967404,0.00001592995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005606007,0.00003365358,0.00004983115,0.00003252154,0.00001373371,0.000006356586,0.9986035,0.0005006675,0.0007036654],"genre_scores_gemma":[0.00014636,0.00003047143,0.0001743108,0.00003114933,0.00000313771,0.00002876211,0.9990705,0.0001167043,0.0003986118],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8601882,"threshold_uncertainty_score":0.4677169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166384592535528,"score_gpt":0.2178914514425564,"score_spread":0.2012529921890036,"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."}}