{"id":"W6986311268","doi":"","title":"Patrolling North of 60: Military Infrastructure in Canada’s Arctic Communities","year":2023,"lang":"en","type":"other","venue":"eScholarship (California Digital Library)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Patrolling; Indigenous; Arctic; Sovereignty; The arctic; Safeguarding","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":[0.0005881476,0.0002822081,0.000207607,0.00151934,0.03076664,0.005207028,0.002153338,0.0009567295,0.00855308],"category_scores_gemma":[0.001497887,0.0003896363,0.0002104905,0.002460555,0.004414367,0.001352281,0.005933105,0.001998854,0.0005175181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06050011,"about_ca_system_score_gemma":0.1319653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931343,"about_ca_topic_score_gemma":0.9987819,"domain_scores_codex":[0.9980465,0.0001508611,0.00002035656,0.0001153744,0.0002969913,0.001369948],"domain_scores_gemma":[0.9971142,0.00009254606,0.0001367022,0.00003398007,0.0005173371,0.002105318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001665633,0.0002833481,0.1891911,0.0004476916,0.00005461513,0.006063041,0.418459,0.0009352828,0.00195469,0.038408,0.1124418,0.2315949],"study_design_scores_gemma":[0.00001172829,0.00005481676,0.1698154,0.0003665632,0.00001571581,0.0005064423,0.6470338,0.0003915312,0.0001399208,0.001226688,0.1803825,0.00005488524],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8564009,0.002420703,0.0006461078,0.01654144,0.0002943023,0.0001735432,0.0006495639,0.00005442332,0.122819],"genre_scores_gemma":[0.9751313,0.001648505,0.0006969753,0.001667872,0.00003081894,0.00004209667,0.0002909627,0.00002311576,0.02046838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06050011,"threshold_uncertainty_score":0.4389611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005787504770943408,"score_gpt":0.1944511845390765,"score_spread":0.1886636797681331,"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."}}