{"id":"W6924614859","doi":"10.15468/dl.ubm9me","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":"SAINT; State (computer science); Matching (statistics); Range (aeronautics)","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":[0.0007113778,0.003246567,0.002182682,0.006996083,0.001184529,0.003121198,0.002307254,0.002704001,0.2573949],"category_scores_gemma":[0.005145266,0.0009762592,0.002054691,0.009141432,0.0003940465,0.003250614,0.003236143,0.002052987,0.3265523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001384438,"about_ca_system_score_gemma":0.002460398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02388288,"about_ca_topic_score_gemma":0.03684736,"domain_scores_codex":[0.9989667,0.0001144021,0.0001510333,0.0003558361,0.000217111,0.0001949955],"domain_scores_gemma":[0.9977076,0.0006929105,0.0001864219,0.0005460126,0.0005381342,0.0003288645],"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":[0.00006471157,0.00002431155,0.0004237954,0.0007158989,0.00001879002,0.00003408403,0.00003132433,0.0001850862,0.0001442765,0.0003885664,0.9945034,0.003465875],"study_design_scores_gemma":[0.0001203387,0.00001987636,0.00185018,0.0002328145,0.00002492018,0.00008067242,0.0001117486,0.0005380861,0.0002481201,0.001293097,0.9954481,0.00003209796],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009988681,0.00007526389,0.0001184457,0.00005956891,0.00003418481,0.00001455145,0.9958047,0.002030425,0.001762889],"genre_scores_gemma":[0.0003123842,0.00008102447,0.000601234,0.0001010488,0.0000100146,0.00006021991,0.9973295,0.0004220572,0.001082541],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7426051,"threshold_uncertainty_score":0.8610718,"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."}}