{"id":"W6943498494","doi":"10.15468/dl.st92eg","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":"Taxon; Geodetic datum; Elevation (ballistics); Footprint; Matching (statistics); Coordinate system","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":["insufficient_payload"],"category_scores_codex":[0.0009349813,0.002062527,0.001942848,0.006560653,0.001311871,0.003841848,0.002242856,0.002017129,0.3693015],"category_scores_gemma":[0.006662487,0.0009662515,0.001681757,0.009493144,0.0003897343,0.003252313,0.003425218,0.002094289,0.4137721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424316,"about_ca_system_score_gemma":0.002608476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02020731,"about_ca_topic_score_gemma":0.03369121,"domain_scores_codex":[0.9986666,0.0001463155,0.0002131519,0.00044495,0.0002981854,0.0002307576],"domain_scores_gemma":[0.9967741,0.0008652399,0.0002285321,0.0008345293,0.0008963974,0.0004011681],"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":[0.00004974258,0.00001690446,0.0003876253,0.0005266204,0.000013007,0.00002229543,0.00003050087,0.0001236097,0.0001110258,0.0005547726,0.9942386,0.003925442],"study_design_scores_gemma":[0.00006094934,0.00001119968,0.0014666,0.0001607697,0.00001317882,0.00004476332,0.0001096774,0.0002439441,0.0001581937,0.0012631,0.996444,0.00002359572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007073904,0.00004422521,0.000135952,0.00005828271,0.00004030178,0.0000129591,0.995299,0.001571265,0.002767312],"genre_scores_gemma":[0.0003525783,0.00007283076,0.0007466282,0.0001084748,0.00001317491,0.00006348373,0.9960856,0.0005485,0.002008654],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6306984,"threshold_uncertainty_score":0.8996148,"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."}}