{"id":"W6943459018","doi":"10.15468/dl.p3f6ut","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; Alien; 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":[0.0009332786,0.001999274,0.001528453,0.00488962,0.001006846,0.002490674,0.002673437,0.001941586,0.1625662],"category_scores_gemma":[0.006101632,0.0008864154,0.00117583,0.009998639,0.0004492769,0.002172019,0.00251375,0.001829882,0.2203765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001485568,"about_ca_system_score_gemma":0.002314698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02121907,"about_ca_topic_score_gemma":0.03453188,"domain_scores_codex":[0.9989663,0.0001417028,0.0001311802,0.0003700552,0.0002168413,0.0001738696],"domain_scores_gemma":[0.9975963,0.0006835248,0.0002301121,0.0006169537,0.0006065462,0.0002665673],"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":[0.00003131656,0.00001115509,0.0003985129,0.0005228907,0.00001355832,0.00001447593,0.00002228609,0.0001244055,0.0001177846,0.0003644691,0.9969198,0.001459347],"study_design_scores_gemma":[0.00007132362,0.000009670339,0.001800332,0.0001839503,0.00001415712,0.00003539031,0.00006818129,0.0001476519,0.0001874275,0.0007782896,0.9966854,0.00001811139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004499267,0.00002613604,0.00004131548,0.00003323067,0.00001215064,0.000005110519,0.9988109,0.0003742592,0.0006519545],"genre_scores_gemma":[0.0001651858,0.00003348016,0.0001949359,0.0000449828,0.000003650425,0.00004291592,0.9988756,0.0001530517,0.0004862031],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8374338,"threshold_uncertainty_score":0.543838,"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."}}