{"id":"W6887313473","doi":"10.15468/dl.ykz7hz","title":"Occurrence Download","year":2021,"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); Data set; Set (abstract data type)","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":[0.001091892,0.001926,0.001732107,0.005564706,0.0009458813,0.002527467,0.002836787,0.002111719,0.158114],"category_scores_gemma":[0.006693152,0.0009252795,0.00118422,0.01119745,0.000452831,0.002232588,0.002399167,0.001996666,0.2035824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00162147,"about_ca_system_score_gemma":0.002365243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02046064,"about_ca_topic_score_gemma":0.03247643,"domain_scores_codex":[0.9988186,0.000162646,0.0001669726,0.0003984566,0.000264173,0.0001891354],"domain_scores_gemma":[0.9970601,0.0008698034,0.000288985,0.0007437271,0.000716531,0.0003209332],"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":[0.00003391166,0.00001262393,0.0004324483,0.0006202758,0.00001739625,0.00001610067,0.00002267676,0.0001475347,0.0001234281,0.0003747387,0.9967201,0.001478607],"study_design_scores_gemma":[0.00008773053,0.000009453614,0.002265001,0.000222555,0.00001710216,0.00003975833,0.00007434907,0.0001632293,0.0001931607,0.0007433327,0.9961654,0.00001902034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003770508,0.0000241752,0.00003320424,0.00002977505,0.000009212714,0.000004703415,0.9991382,0.0002525213,0.0004703607],"genre_scores_gemma":[0.0001536662,0.00003092155,0.0001625542,0.00003714172,0.00000320888,0.00004033407,0.9990877,0.0001016401,0.0003827924],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.841886,"threshold_uncertainty_score":0.5289441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}