{"id":"W6905854663","doi":"10.15468/dl.s7q5m2","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)","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":[0.0009463108,0.001911263,0.001558273,0.004802434,0.0009476745,0.002512327,0.002660267,0.002016681,0.1527831],"category_scores_gemma":[0.006088088,0.0009053628,0.001228427,0.009301207,0.0004272199,0.002177665,0.002468667,0.001889609,0.201194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156372,"about_ca_system_score_gemma":0.002340878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02089564,"about_ca_topic_score_gemma":0.03375163,"domain_scores_codex":[0.9989446,0.0001445532,0.0001388806,0.0003786653,0.0002214381,0.0001718862],"domain_scores_gemma":[0.9976606,0.0006815646,0.0002289429,0.0005905246,0.0005880847,0.0002502623],"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":[0.00003296779,0.00001224523,0.0004234804,0.0006198374,0.00001592645,0.00001533138,0.00002189401,0.0001355601,0.0001307576,0.0003788197,0.9966737,0.001539575],"study_design_scores_gemma":[0.00007660213,0.00001022385,0.001942658,0.0002159889,0.00001604737,0.00003819344,0.00006768719,0.0001669791,0.0001991309,0.0007745743,0.996473,0.00001884937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004295908,0.00002862947,0.00004124319,0.00003565287,0.00001234577,0.000005609884,0.998884,0.0003589244,0.0005907049],"genre_scores_gemma":[0.0001629217,0.00003831162,0.0002014495,0.00004942196,0.000003520381,0.00004696062,0.9988779,0.0001375796,0.0004817983],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8472168,"threshold_uncertainty_score":0.5111105,"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."}}