{"id":"W6995938137","doi":"","title":"Protecting civilians in conflict : a constructive role for Canada","year":2018,"lang":"en","type":"book-chapter","venue":"Cadmus - EUI Research Repository (European University Institute)","topic":"Gender, Security, and Conflict","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Constructive; Government (linguistics); Entitlement (fair division); Context (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002194098,0.0006063016,0.0006187936,0.002171367,0.02840707,0.01527025,0.002272029,0.00584386,0.02820857],"category_scores_gemma":[0.005282863,0.0003516964,0.0003854845,0.004419918,0.01545239,0.004664272,0.00451395,0.009036918,0.002380606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09442199,"about_ca_system_score_gemma":0.2534962,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9741961,"about_ca_topic_score_gemma":0.9898978,"domain_scores_codex":[0.9970787,0.0003673548,0.00004643156,0.0001687243,0.001047166,0.001291601],"domain_scores_gemma":[0.9971895,0.0006097655,0.00008431882,0.000103482,0.00104323,0.0009697913],"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":[0.00001725134,0.00002034743,0.0004737198,0.0001388103,0.000008577588,0.0001346088,0.0110752,0.0002117313,0.0001058842,0.5453062,0.3852869,0.05722077],"study_design_scores_gemma":[0.000005229096,0.000004682126,0.0006753388,0.0002571296,0.000009534646,0.00004639741,0.009259664,0.0001028797,0.00008521527,0.030973,0.9585645,0.00001648159],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004817558,0.02016906,0.0009283063,0.1562552,0.002788972,0.00005945549,0.0001569946,0.00007969183,0.8147447],"genre_scores_gemma":[0.2453956,0.036296,0.002534042,0.04297584,0.0008264568,0.0001079698,0.0001665082,0.0002370348,0.6714606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09442199,"threshold_uncertainty_score":0.6850827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07266274636171446,"score_gpt":0.2959895925656189,"score_spread":0.2233268462039044,"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."}}