{"id":"W6905745955","doi":"10.15468/dl.q89kdd","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":"Download; Matching (statistics); Alien; 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":[0.0009971547,0.001911897,0.00155193,0.004743128,0.0009796222,0.002547706,0.002643116,0.001988903,0.1626516],"category_scores_gemma":[0.005976623,0.0008763733,0.00121543,0.008979261,0.0004264562,0.002274863,0.002548391,0.001921839,0.2291762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488532,"about_ca_system_score_gemma":0.00226936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02060888,"about_ca_topic_score_gemma":0.03292007,"domain_scores_codex":[0.9990047,0.0001378809,0.0001238094,0.0003496062,0.0002172384,0.0001668365],"domain_scores_gemma":[0.9974765,0.0007594738,0.000219737,0.0006384722,0.0006223553,0.0002833879],"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":[0.00002707521,0.00001110355,0.000404854,0.0005314889,0.0000134474,0.00001454693,0.00002262335,0.0001217401,0.0001042949,0.0003329649,0.9969639,0.001451868],"study_design_scores_gemma":[0.00007346879,0.000009380778,0.002071198,0.00022237,0.0000152215,0.00003728053,0.00008122945,0.0001802818,0.0001943827,0.0007944329,0.9963021,0.00001868646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004283534,0.00002564119,0.00004339139,0.0000367327,0.00001250676,0.000005702774,0.9988281,0.0004026422,0.0006024645],"genre_scores_gemma":[0.0001653876,0.00003349032,0.0002026402,0.00004812966,0.000003985216,0.00004738687,0.9988739,0.0001537396,0.0004713014],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8373485,"threshold_uncertainty_score":0.5441236,"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."}}