{"id":"W6924318336","doi":"10.15468/dl.l8y5z1","title":"Occurrence Download","year":2019,"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); Lolium perenne; Column (typography)","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":[0.001069925,0.00202487,0.001694314,0.005417652,0.001020422,0.002771471,0.003052825,0.002145082,0.1496819],"category_scores_gemma":[0.006193069,0.0009345703,0.001239541,0.01049887,0.0004636639,0.002427011,0.002639492,0.002062471,0.2239231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00170626,"about_ca_system_score_gemma":0.00248469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02246552,"about_ca_topic_score_gemma":0.03540875,"domain_scores_codex":[0.9988424,0.0001577268,0.0001562091,0.0004076479,0.0002505556,0.0001854825],"domain_scores_gemma":[0.9974495,0.0007252001,0.0002427331,0.0006747809,0.0006254478,0.0002824017],"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":[0.00003089646,0.00001100167,0.000361358,0.0005717732,0.00001666686,0.00001554375,0.00002454974,0.000125161,0.0001243665,0.0004315561,0.9968556,0.001431383],"study_design_scores_gemma":[0.00006640259,0.000007379656,0.001598954,0.0001899481,0.00001490572,0.0000367223,0.00006659374,0.0001446795,0.0001910185,0.000794407,0.9968717,0.00001730863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003872954,0.00003108408,0.00004827098,0.00003641799,0.00001210529,0.000004935426,0.9988152,0.0003942524,0.0006190381],"genre_scores_gemma":[0.0001469567,0.00003527432,0.0001799152,0.00004139545,0.000003160786,0.00003595995,0.9989898,0.0001438539,0.0004236791],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8503181,"threshold_uncertainty_score":0.5007358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}