{"id":"W2479612070","doi":"10.1017/cbo9781139059688.014","title":"INVASION OF CANADA","year":2012,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Legal principles and applications","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Content (measure theory); Computer science; World Wide Web; Telecommunications; Internet privacy; Computer network; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003916176,0.0006810455,0.0004849297,0.001417745,0.0101877,0.003900111,0.001122427,0.001931383,0.05467064],"category_scores_gemma":[0.001286456,0.0002969497,0.0005057288,0.00239062,0.00269004,0.001028994,0.001967039,0.00268607,0.00481896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0552559,"about_ca_system_score_gemma":0.08478716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.980131,"about_ca_topic_score_gemma":0.9922239,"domain_scores_codex":[0.9986783,0.0000471057,0.00001778579,0.0001035873,0.0006739139,0.0004792946],"domain_scores_gemma":[0.9995558,0.0000292296,0.00001360366,0.00002681732,0.0002876965,0.00008697691],"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":[0.00004444802,0.00002177664,0.001944911,0.0003307508,0.00002205494,0.0007841376,0.003291572,0.0005681132,0.000851706,0.2616345,0.6299729,0.1005332],"study_design_scores_gemma":[0.000001954721,0.000004181006,0.001757122,0.00009622156,0.000004363467,0.00009261969,0.0006755676,0.00007732549,0.0001354612,0.001619275,0.9955236,0.00001232826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006174683,0.01007921,0.0006083859,0.009607058,0.00112485,0.00005896788,0.001433149,0.0001316714,0.970782],"genre_scores_gemma":[0.07278302,0.01175445,0.0008669251,0.003766947,0.0001007825,0.00003965534,0.0008769379,0.0001136365,0.9096977],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0552559,"threshold_uncertainty_score":0.4009115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0335341176808763,"score_gpt":0.2176090116891259,"score_spread":0.1840748940082496,"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."}}