{"id":"W4233492489","doi":"10.7591/cornell/9781501736605.003.0006","title":"Cities and Towns","year":2019,"lang":"en","type":"book-chapter","venue":"Cornell University Press eBooks","topic":"Colonialism, slavery, and trade","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Battle; Quarter (Canadian coin); Geography; Political science; Criminology; Sociology; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.00011424,0.000195666,0.0002751704,0.00007915754,0.0003617929,0.00007417671,0.0003272338,0.0003692116,0.0001232977],"category_scores_gemma":[0.000008390156,0.0002403848,0.0001165865,0.000004994673,0.0006522626,0.00007815865,0.0001854938,0.0002573787,0.00002454464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001226038,"about_ca_system_score_gemma":0.0002458661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00211358,"about_ca_topic_score_gemma":0.001147376,"domain_scores_codex":[0.9990769,0.00004634457,0.00008835623,0.0003530383,0.0001949912,0.0002403764],"domain_scores_gemma":[0.9993003,0.0001352669,0.0001080348,0.0002475252,0.0000675491,0.0001413488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003883567,0.000003821453,0.00003183273,0.00003387564,0.00006321857,0.00007086858,0.01029705,0.000001293177,0.000001359523,0.9856027,0.002526193,0.001328929],"study_design_scores_gemma":[0.0002754473,0.00003185742,0.00005228778,0.00005457503,0.0001257465,0.00000132886,0.0006065067,0.0000034639,0.000007103206,0.004476565,0.9940842,0.0002809614],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001333432,0.0002187838,0.00001772238,0.00003016708,0.000444119,0.0003241533,0.00007878157,0.000100317,0.9974525],"genre_scores_gemma":[0.06348038,0.0006106194,0.000009299385,0.00005848534,0.0002002221,1.569457e-7,0.00000692116,0.00001797346,0.935616],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.991558,"threshold_uncertainty_score":0.9802608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05312427540533118,"score_gpt":0.2166765679714732,"score_spread":0.163552292566142,"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."}}