{"id":"W2995646533","doi":"10.7202/1065582ar","title":"“Not that I lov’d Fleas less, but that I lov’d England more,”","year":2019,"lang":"en","type":"article","venue":"Ontario History","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Amusement; Entertainment; Politics; Atmosphere (unit); Variety (cybernetics); Media studies; Sociology; History; Advertising; Visual arts; Psychology; Geography; Political science; Art; Social psychology; Law; Business; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0009495012,0.0005167134,0.0002678758,0.0006253815,0.01937879,0.005129281,0.000611765,0.001554161,0.01510468],"category_scores_gemma":[0.002327564,0.0002523842,0.0002697573,0.000975427,0.01270438,0.002978254,0.002003958,0.003500439,0.002508559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02677707,"about_ca_system_score_gemma":0.01893135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9133912,"about_ca_topic_score_gemma":0.9755078,"domain_scores_codex":[0.9984884,0.0003064537,0.00002853975,0.0001524236,0.0004770927,0.0005470709],"domain_scores_gemma":[0.9987845,0.00008241719,0.00009877809,0.00005295481,0.0005171146,0.0004642952],"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":[0.0001096004,0.00004035605,0.01631732,0.0002225121,0.000054458,0.0006791195,0.2285847,0.00007744045,0.002174706,0.08143242,0.6244761,0.04583121],"study_design_scores_gemma":[0.000007270697,0.00001423503,0.01026212,0.0001020663,0.00001593868,0.0002460007,0.09645589,0.00002741314,0.0002535179,0.001728389,0.890842,0.00004520434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.102381,0.006112479,0.001971724,0.224574,0.003385997,0.00006700603,0.0007355261,0.0001975063,0.6605749],"genre_scores_gemma":[0.5623325,0.00279476,0.001369404,0.02947745,0.0002304246,0.00003273939,0.0002178287,0.0001192292,0.4034258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08660877,"threshold_uncertainty_score":0.1942822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0331386928082842,"score_gpt":0.2099780703264674,"score_spread":0.1768393775181832,"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."}}