{"id":"W6924781846","doi":"10.15468/dl.mskyxm","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); Alien; Download; Range (aeronautics); The Internet","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":[0.0009053111,0.002023075,0.001477133,0.004948528,0.000937103,0.002412896,0.002534637,0.001894223,0.160177],"category_scores_gemma":[0.005803214,0.0008705516,0.001175919,0.009894988,0.0004368209,0.00206309,0.002476961,0.001727444,0.2192627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001445671,"about_ca_system_score_gemma":0.002262202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0208644,"about_ca_topic_score_gemma":0.03326865,"domain_scores_codex":[0.9989927,0.0001375172,0.0001284583,0.0003566561,0.0002122363,0.0001723548],"domain_scores_gemma":[0.9976588,0.0006777599,0.0002278842,0.0005879737,0.0005795755,0.0002679965],"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":[0.00003324963,0.00001184333,0.0004190862,0.0005427341,0.00001393512,0.00001493965,0.00002188272,0.0001317857,0.0001278847,0.0003578221,0.9968469,0.001478015],"study_design_scores_gemma":[0.00007788166,0.00001109178,0.002019528,0.0001913182,0.00001512402,0.0000378487,0.00007050759,0.0001552823,0.0002025999,0.0007683838,0.9964316,0.00001863429],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004801354,0.00002745861,0.00003818002,0.00003295642,0.00001217635,0.000005041765,0.9988378,0.0003591142,0.0006391801],"genre_scores_gemma":[0.0001676799,0.0000340179,0.0001786462,0.00004471295,0.000003656794,0.00004001451,0.9989202,0.0001405332,0.0004706158],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.839823,"threshold_uncertainty_score":0.5358453,"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."}}