{"id":"W6931963323","doi":"10.5446/58598","title":"“Don’t Lose Your Way”: How 4000 volunteers found 50,000 miles of lost historic paths in England and Wales using OSGeo technology","year":2021,"lang":"en","type":"other","venue":"TIB KMO / FLOWWORKS GmbH","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Government (linguistics); Geospatial analysis; Web site; Square (algebra); Set (abstract data type); Quarter (Canadian coin)","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":[],"consensus_categories":[],"category_scores_codex":[0.003025616,0.0007266894,0.0004408825,0.001221553,0.007323029,0.005464548,0.001284964,0.002017094,0.0128273],"category_scores_gemma":[0.008069618,0.000598969,0.0004127525,0.001048611,0.003217633,0.004211571,0.005185094,0.001962603,0.007263435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001280606,"about_ca_system_score_gemma":0.001346397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02602716,"about_ca_topic_score_gemma":0.07135597,"domain_scores_codex":[0.9975111,0.001119348,0.0000737111,0.0002754516,0.0004689071,0.0005514127],"domain_scores_gemma":[0.9962411,0.0008485728,0.000163807,0.0002597052,0.000771365,0.00171551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003005581,0.0003857068,0.02387008,0.0006397497,0.0000398915,0.004920809,0.6282684,0.0002062749,0.003184124,0.001935387,0.1861823,0.1500667],"study_design_scores_gemma":[0.00001704354,0.000544648,0.01340218,0.0003913569,0.00002389526,0.001282624,0.5795389,0.00017413,0.0005112196,0.000480392,0.4035339,0.00009978308],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.904466,0.002650946,0.004512517,0.01949501,0.002150113,0.0003629186,0.0006679061,0.0008039934,0.06489055],"genre_scores_gemma":[0.7274566,0.003849061,0.005177392,0.009789758,0.0003950632,0.0004283735,0.001248194,0.001219051,0.2504364],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02602716,"threshold_uncertainty_score":0.05175138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02071563270097923,"score_gpt":0.2481759416886603,"score_spread":0.2274603089876811,"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."}}