{"id":"W3011149154","doi":"10.21083/ruralreview.v1i1.5987","title":"Asset Mapping: A Case Study","year":2017,"lang":"en","type":"article","venue":"Rural Review Ontario Rural Planning Development and Policy","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Deliverable; Presentation (obstetrics); Asset (computer security); Rural community; Business; Community development; Community engagement; Environmental planning; Regional science; Environmental resource management; Public relations; Political science; Economic growth; Geography; Management; Economics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0009713504,0.000309673,0.000742849,0.0002157055,0.001721128,0.0004637523,0.0004499572,0.00007923076,0.0002028163],"category_scores_gemma":[0.0002605959,0.0003065984,0.0000960362,0.0001271838,0.00006265491,0.0005081396,0.0002750024,0.0003513632,0.0002202578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003153559,"about_ca_system_score_gemma":0.0002850032,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1071694,"about_ca_topic_score_gemma":0.02652803,"domain_scores_codex":[0.9984204,0.00003309194,0.0007754672,0.0002295769,0.00007522038,0.00046621],"domain_scores_gemma":[0.9986561,0.00004669986,0.0005521688,0.0005053296,0.00003192388,0.0002077723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006581468,0.00007964242,0.9369766,0.0001638401,0.0001620165,0.0004401277,0.03297599,1.549713e-7,6.121326e-7,0.002334057,0.003567468,0.02329292],"study_design_scores_gemma":[0.0006017327,0.00004779227,0.774182,0.0007988191,0.00001492484,0.0003573596,0.002250875,0.00000270395,0.000001029632,0.0009915979,0.2202469,0.000504348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744665,0.008623921,0.00001021865,0.001752687,0.0002370364,0.0005999581,0.000008437487,0.00004344504,0.01425777],"genre_scores_gemma":[0.990379,0.001387126,0.0004508263,0.0008180865,0.0001190947,0.0000445716,0.00004033719,0.00002042873,0.006740578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2166794,"threshold_uncertainty_score":0.9999386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1349242041551505,"score_gpt":0.3453354994708778,"score_spread":0.2104112953157272,"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."}}