{"id":"W6961919845","doi":"10.15468/dl.n2q2b5","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); 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":[0.0009901314,0.002146024,0.001689071,0.005389209,0.0009976869,0.002780805,0.002880641,0.001943055,0.174224],"category_scores_gemma":[0.006409716,0.001001517,0.001273209,0.01070869,0.0004317414,0.002494392,0.002763494,0.001957634,0.2349201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528212,"about_ca_system_score_gemma":0.002447541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02054442,"about_ca_topic_score_gemma":0.03492957,"domain_scores_codex":[0.9988378,0.0001618794,0.0001568836,0.0004140544,0.0002419965,0.000187437],"domain_scores_gemma":[0.9973031,0.0007523677,0.0002553853,0.0006938173,0.0006892059,0.0003060429],"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":[0.00003319282,0.00001038051,0.0003418596,0.0005965065,0.00001604702,0.00001376752,0.0000212254,0.0001124745,0.000107783,0.0003715631,0.9969578,0.00141744],"study_design_scores_gemma":[0.00007168417,0.00000860628,0.001579254,0.0001870305,0.00001486142,0.00003327442,0.00005709832,0.0001224284,0.0001644056,0.000804825,0.9969386,0.00001805068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003473928,0.00002805746,0.00003967286,0.00003192821,0.00001163712,0.000004841691,0.9988921,0.0003460914,0.000610964],"genre_scores_gemma":[0.0001416408,0.00003917685,0.0001899253,0.0000520415,0.000003781688,0.0000408579,0.9988621,0.0001545568,0.0005159035],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.825776,"threshold_uncertainty_score":0.5828373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}