{"id":"W6950538077","doi":"10.5683/sp3/dbe5ym","title":"Geocoding options overview","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Geocoding; Lightning (connector); Identification (biology); Key (lock); Global Positioning System","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003296647,0.001976619,0.001251906,0.007049425,0.0009821558,0.003934884,0.003401033,0.001720335,0.1119545],"category_scores_gemma":[0.01753604,0.001047055,0.001415389,0.01522473,0.0006099333,0.00463611,0.004675887,0.00218687,0.1037221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002089677,"about_ca_system_score_gemma":0.003991067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08117201,"about_ca_topic_score_gemma":0.1139887,"domain_scores_codex":[0.9976216,0.0004454341,0.0003020262,0.0004770874,0.0008140784,0.0003397448],"domain_scores_gemma":[0.9926552,0.001558527,0.0006073024,0.001898445,0.002731374,0.0005491702],"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":[0.00002448262,0.000005071546,0.0005585889,0.0002489407,0.00001255381,0.000008619071,0.00001911636,0.0001855087,0.00004793863,0.001061376,0.9934111,0.004416697],"study_design_scores_gemma":[0.00002950543,0.000005135771,0.001503892,0.0003034622,0.00001378123,0.00002741462,0.00008399608,0.0002320388,0.0001722307,0.002215291,0.9953859,0.00002728665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001088423,0.0001554163,0.0004123383,0.0003100017,0.0001091663,0.00001836092,0.9939852,0.001264503,0.003636214],"genre_scores_gemma":[0.0005771645,0.0001838536,0.001235172,0.0002259174,0.00002329294,0.00008893613,0.9952401,0.0004319179,0.001993607],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1119545,"threshold_uncertainty_score":0.374525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0785882342641756,"score_gpt":0.3274820634000683,"score_spread":0.2488938291358927,"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."}}