{"id":"W6961766050","doi":"10.15468/dl.pkm82t","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009233781,0.002107488,0.001501326,0.004610708,0.0008996114,0.002400307,0.002626135,0.001976368,0.1422996],"category_scores_gemma":[0.005821422,0.0008503911,0.001188178,0.008950572,0.0004263141,0.002040925,0.002338944,0.001831413,0.1989532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514879,"about_ca_system_score_gemma":0.00228183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02085692,"about_ca_topic_score_gemma":0.03432757,"domain_scores_codex":[0.9990048,0.000139858,0.0001306703,0.0003583551,0.000208302,0.0001581048],"domain_scores_gemma":[0.9977707,0.0006566919,0.0002132659,0.0005425472,0.0005614105,0.0002554482],"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":[0.00003415982,0.00001300784,0.0004306606,0.000558884,0.00001504765,0.00001496428,0.00002095493,0.0001516429,0.000110573,0.0003579488,0.9967929,0.001499367],"study_design_scores_gemma":[0.00009163566,0.00001108008,0.001901139,0.0001922495,0.00001552345,0.00003634836,0.00006755604,0.000208255,0.0001894038,0.0008557633,0.9964125,0.00001852955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004842472,0.00002865662,0.00004194345,0.00003522405,0.00001164232,0.000005709236,0.9988439,0.0003880004,0.0005964374],"genre_scores_gemma":[0.0001699227,0.00003572731,0.0002080884,0.0000468093,0.000003514764,0.00004395021,0.9989061,0.0001345895,0.0004513733],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8577004,"threshold_uncertainty_score":0.4760395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01584274527276208,"score_gpt":0.1824761774745411,"score_spread":0.166633432201779,"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."}}