{"id":"W6943595940","doi":"10.15468/dl.unpwyz","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); Range (aeronautics); Download; Set (abstract data type); Identification (biology)","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":[0.0009092973,0.002092939,0.001620358,0.005047468,0.001023452,0.002667941,0.002838277,0.001962042,0.1614712],"category_scores_gemma":[0.005666334,0.0009704636,0.001199343,0.01020543,0.0004206223,0.002487271,0.002636186,0.002000813,0.2335289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001541425,"about_ca_system_score_gemma":0.002313993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01995784,"about_ca_topic_score_gemma":0.03488617,"domain_scores_codex":[0.9989041,0.0001459227,0.0001417163,0.0003936304,0.0002377145,0.0001768847],"domain_scores_gemma":[0.9975573,0.0006349817,0.0002274906,0.000655064,0.0006484481,0.0002766901],"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":[0.00003298961,0.00001141506,0.0003465575,0.0005318348,0.00001427179,0.00001396279,0.00001989738,0.000107069,0.0001226273,0.0003757693,0.99697,0.001453713],"study_design_scores_gemma":[0.00006778049,0.000008104603,0.001619211,0.0001620692,0.00001322463,0.00003321423,0.00005449641,0.0001227536,0.000173554,0.0007530896,0.9969752,0.00001729957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003817101,0.00002624924,0.00004132733,0.00003098945,0.00001132954,0.000004908245,0.9988229,0.0003502244,0.0006739704],"genre_scores_gemma":[0.0001383976,0.00003372494,0.0001883552,0.00004637188,0.000003574949,0.00003857346,0.9989027,0.0001398553,0.0005084557],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8385288,"threshold_uncertainty_score":0.5401749,"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."}}