{"id":"W6887298607","doi":"10.15468/dl.zx7cuc","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":[0.0009369302,0.002008779,0.001488072,0.004715074,0.0009432507,0.002426821,0.002606971,0.001905551,0.1669711],"category_scores_gemma":[0.005965597,0.000913173,0.001198406,0.009464093,0.0004348532,0.00216841,0.002513269,0.001794401,0.2206564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446723,"about_ca_system_score_gemma":0.002284685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02021825,"about_ca_topic_score_gemma":0.03248,"domain_scores_codex":[0.9989925,0.000137527,0.0001302614,0.0003623095,0.0002059439,0.0001714874],"domain_scores_gemma":[0.9976164,0.0006915705,0.0002232091,0.0006086665,0.0005878781,0.0002723231],"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":[0.00003286204,0.00001164594,0.0003911084,0.000525608,0.00001410036,0.00001433117,0.00002086065,0.0001315499,0.0001212099,0.0003546614,0.9969286,0.001453359],"study_design_scores_gemma":[0.00008066322,0.00001076603,0.001905281,0.000188512,0.00001524035,0.00003665774,0.00006814208,0.0001607429,0.0002011919,0.0008092867,0.9965045,0.0000188718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004522956,0.0000244324,0.00004086057,0.00003298026,0.00001242968,0.000005222536,0.9988446,0.0003717282,0.0006224613],"genre_scores_gemma":[0.0001626949,0.00003193129,0.0001918247,0.00004605641,0.000003531785,0.00004181284,0.9988952,0.0001515318,0.0004754211],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8330289,"threshold_uncertainty_score":0.5585741,"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."}}