{"id":"W7027438677","doi":"","title":"City to city twinning relationships: Are there measurable benefits?","year":2018,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Cross-Border Cooperation and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"University of Windsor","keywords":"Work (physics); Population; Government (linguistics); Context (archaeology); Hyporeflexia","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002036969,0.0001797092,0.0002549412,0.0002516483,0.004211509,0.0001763781,0.0006146521,0.0003042725,0.004493899],"category_scores_gemma":[0.001282027,0.0002211722,0.0001412218,0.001139355,0.0005130085,0.001505505,0.0001547893,0.0004685314,0.0005862231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003528788,"about_ca_system_score_gemma":0.0002479246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001895743,"about_ca_topic_score_gemma":0.0702684,"domain_scores_codex":[0.9977261,0.0004476344,0.0002143126,0.0004614317,0.0007297167,0.0004208131],"domain_scores_gemma":[0.9977681,0.0001333187,0.0002242582,0.0004038539,0.001137764,0.0003327106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001869619,0.0001227169,0.9458243,0.00001106242,0.00005039447,0.000004494719,0.03553933,0.00007042759,0.002163546,0.0108452,0.002930583,0.002250977],"study_design_scores_gemma":[0.0005661784,0.0001107483,0.9090005,0.0001189802,0.00003580095,0.000001041551,0.02387254,0.00004660742,0.001530556,0.0005977683,0.06377754,0.000341692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9516473,0.00007833495,0.0005318415,0.004900933,0.0002778484,0.0003385079,0.00003310782,0.0001420869,0.04205005],"genre_scores_gemma":[0.9852952,0.00001738898,0.0009546899,0.0003074878,0.0002121223,7.988135e-7,0.00001555058,0.00001514799,0.01318157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06837266,"threshold_uncertainty_score":0.9970849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09275555689335144,"score_gpt":0.3123463957898731,"score_spread":0.2195908388965217,"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."}}