{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0005590877,0.001338467,0.002199332,0.003440783,0.0001208946,0.0001120913,0.0008673987,0.002556934,0.003288101],"category_scores_gemma":[0.0003420285,0.001434401,0.0002448788,0.002325177,0.0009897252,0.0001624216,0.0005494966,0.001579458,0.0002254451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001277919,"about_ca_system_score_gemma":0.0003613672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00372761,"about_ca_topic_score_gemma":0.01808004,"domain_scores_codex":[0.994984,0.0003333262,0.0009034208,0.00166569,0.0007855932,0.001327935],"domain_scores_gemma":[0.9968641,0.0001750282,0.0008468289,0.001647633,0.0002075903,0.0002587668],"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":[0.001912133,0.004210358,0.2140228,0.0103463,0.005244519,0.006428164,0.01154059,0.00147506,0.0730399,0.0009729848,0.5692839,0.1015233],"study_design_scores_gemma":[0.00449871,0.0002156132,0.001585136,0.005755753,0.0005990237,0.0003105619,0.001269962,0.001664025,0.0003547061,0.0002345857,0.9810873,0.00242459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6609555,0.2805605,0.0004652398,0.0003500443,0.003784939,0.002926456,0.002628966,0.001220652,0.04710773],"genre_scores_gemma":[0.3780419,0.00720956,0.01129863,0.00009393528,0.00292629,0.0001727163,0.001420899,0.007755205,0.5910808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5439731,"threshold_uncertainty_score":0.9999366,"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."}}