{"id":"W6887005363","doi":"10.15468/dl.n2ttzn","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Order (exchange)","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":[0.0009177777,0.001958999,0.001499192,0.004506989,0.0009570313,0.002318734,0.002729258,0.00203642,0.1413037],"category_scores_gemma":[0.005194698,0.0008967099,0.001187126,0.008879959,0.0004378231,0.002094032,0.002444953,0.001949729,0.211375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547331,"about_ca_system_score_gemma":0.002235259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02201445,"about_ca_topic_score_gemma":0.03671001,"domain_scores_codex":[0.9990838,0.0001201197,0.0001150814,0.0003156564,0.0002082896,0.000157161],"domain_scores_gemma":[0.9979735,0.0005481431,0.0001905695,0.0005487639,0.0005008188,0.0002382034],"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":[0.00002913759,0.00001192518,0.0004057052,0.0005160181,0.00001525818,0.00001656271,0.00002672266,0.0001362287,0.0001439034,0.0004088723,0.9967649,0.001524796],"study_design_scores_gemma":[0.00006394922,0.000007278883,0.001811115,0.0001700737,0.00001317432,0.00003678814,0.00007157364,0.0001548287,0.0002060626,0.0006828088,0.9967656,0.00001676753],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004754948,0.00002545631,0.0000491387,0.00003390827,0.00001214917,0.00000542162,0.9987491,0.0004106536,0.0006666068],"genre_scores_gemma":[0.0001608365,0.00002901241,0.0002048395,0.00003989093,0.000003037149,0.00004005481,0.9989501,0.0001457436,0.0004265988],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8586963,"threshold_uncertainty_score":0.4727081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}