{"id":"W6924580449","doi":"10.15468/dl.xvbtyp","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien","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":[0.0009655145,0.002143039,0.001618996,0.004579178,0.001044917,0.002549281,0.002868847,0.002312195,0.1277432],"category_scores_gemma":[0.00566667,0.0008833354,0.001363067,0.008612054,0.0004595735,0.002249556,0.002426736,0.002075804,0.1923987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621456,"about_ca_system_score_gemma":0.002268261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0217471,"about_ca_topic_score_gemma":0.03444396,"domain_scores_codex":[0.9989663,0.0001451695,0.0001315417,0.0003626624,0.0002279747,0.000166255],"domain_scores_gemma":[0.9977797,0.0006449608,0.0001967646,0.0005822964,0.00054147,0.0002548672],"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":[0.00003477263,0.00001495805,0.0004490844,0.0005800718,0.00001679911,0.00001823933,0.00002127131,0.0001637748,0.000128357,0.0003464741,0.9967855,0.001440734],"study_design_scores_gemma":[0.0001018962,0.00001240642,0.00226219,0.0002209709,0.00001823803,0.00004860386,0.000083328,0.0002674054,0.0002354732,0.000867484,0.9958611,0.00002097573],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005324629,0.00003274015,0.00004474586,0.00004208539,0.00001356188,0.000006549665,0.9987987,0.0004241654,0.0005841485],"genre_scores_gemma":[0.000170579,0.00003402832,0.0001921021,0.00004769371,0.000003647078,0.00004182279,0.999009,0.0001129222,0.0003881578],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8722568,"threshold_uncertainty_score":0.4273435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006532386411914962,"score_gpt":0.1778465812350538,"score_spread":0.1713141948231389,"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."}}