{"id":"W6943387653","doi":"10.15468/dl.kixiza","title":"Occurrence Download","year":2018,"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); Order (exchange); 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":[0.0009480661,0.002054861,0.001672859,0.005552839,0.0009666225,0.002621744,0.003010538,0.00194865,0.1377558],"category_scores_gemma":[0.00577205,0.0008681849,0.001195542,0.0113887,0.0004384931,0.002139292,0.002638211,0.002008848,0.1917444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659971,"about_ca_system_score_gemma":0.002597845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02662322,"about_ca_topic_score_gemma":0.04284557,"domain_scores_codex":[0.9989637,0.0001276455,0.0001332479,0.000354238,0.0002384462,0.0001827115],"domain_scores_gemma":[0.9976481,0.0006173088,0.0002386464,0.0006063492,0.0005880403,0.0003016117],"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":[0.00003333843,0.00001213626,0.0004400212,0.0005944385,0.00001864171,0.00001825959,0.00002696432,0.0001374001,0.0001247453,0.0004179323,0.9967514,0.001424755],"study_design_scores_gemma":[0.00008125805,0.000008245031,0.002287706,0.0002072608,0.00001745297,0.00004338671,0.00007918306,0.0001570042,0.0002024054,0.0007726102,0.9961246,0.00001887562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004478698,0.00002816889,0.00004119012,0.00003039423,0.00001008308,0.000004644533,0.9989113,0.0003663441,0.0005631404],"genre_scores_gemma":[0.0001480394,0.00003030049,0.0001558941,0.00003221432,0.000002741956,0.00003145307,0.9991269,0.0001212675,0.0003512647],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8622442,"threshold_uncertainty_score":0.460839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}