{"id":"W6886968897","doi":"10.15468/dl.dheqm7","title":"Occurrence Download","year":2024,"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); Set (abstract data type); Data set","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":[0.00102527,0.001874142,0.001662199,0.005328466,0.0009405441,0.002502979,0.002747409,0.00197853,0.165439],"category_scores_gemma":[0.006341412,0.0009086537,0.001176454,0.01048722,0.0004411998,0.002212297,0.002490559,0.001925636,0.2156982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526624,"about_ca_system_score_gemma":0.002294507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02016757,"about_ca_topic_score_gemma":0.0327221,"domain_scores_codex":[0.9989373,0.0001482154,0.0001447193,0.0003591696,0.0002338896,0.0001767411],"domain_scores_gemma":[0.9973696,0.0007582346,0.0002511182,0.0006582211,0.0006684674,0.0002943006],"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":[0.00003029839,0.00001094296,0.0003963228,0.0005971713,0.00001669926,0.00001440206,0.00002205314,0.0001289768,0.000116925,0.0003754899,0.9968513,0.001439517],"study_design_scores_gemma":[0.00008069486,0.00000864728,0.00200408,0.0002138012,0.00001601872,0.00003537107,0.00006731334,0.0001381467,0.0001767355,0.0007754545,0.9964658,0.00001791656],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003616044,0.0000254453,0.00003566296,0.00003069526,0.00001008513,0.000004708963,0.9990649,0.0002801812,0.0005123263],"genre_scores_gemma":[0.0001532271,0.00003370884,0.0001695855,0.00004195161,0.000003543482,0.00004133002,0.9990175,0.0001231011,0.0004160076],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.834561,"threshold_uncertainty_score":0.5534487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}