{"id":"W6962823174","doi":"10.15468/dl.vfgzqd","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); State (computer science)","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":[0.0009042054,0.002065128,0.001515534,0.004847155,0.0009509035,0.002420899,0.002625837,0.0019485,0.1625229],"category_scores_gemma":[0.005839725,0.0009097929,0.001211914,0.009570598,0.0004392892,0.002159167,0.002551375,0.00178247,0.2195598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457268,"about_ca_system_score_gemma":0.002249238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02025096,"about_ca_topic_score_gemma":0.03260354,"domain_scores_codex":[0.9990034,0.0001322739,0.0001289792,0.000359428,0.0002054687,0.0001705185],"domain_scores_gemma":[0.997651,0.0006686809,0.0002251206,0.0006043206,0.0005806836,0.000270105],"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":[0.00003405109,0.00001201398,0.0004095813,0.0005656382,0.00001467327,0.00001512684,0.00002194883,0.0001344631,0.0001321587,0.000351514,0.9967985,0.001510414],"study_design_scores_gemma":[0.00008210562,0.0000111148,0.001984223,0.0001916866,0.0000156077,0.00003853185,0.00006951156,0.0001638689,0.0002043409,0.0007756764,0.9964444,0.00001900206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004704698,0.00002608527,0.00004040508,0.0000325285,0.00001224661,0.000005106042,0.9988375,0.0003818446,0.0006172425],"genre_scores_gemma":[0.0001634486,0.00003277659,0.000190491,0.0000449568,0.000003480397,0.0000401323,0.998926,0.000144955,0.0004537358],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8374771,"threshold_uncertainty_score":0.5436931,"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."}}