{"id":"W4391789312","doi":"10.24908/cmj.v23i3.17313","title":"Supporting Military Families","year":2024,"lang":"en","type":"article","venue":"Canadian Military Journal","topic":"Social Policies and Family","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Mount Saint Vincent University","keywords":"Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001209383,0.0001316242,0.0001577785,0.0003362942,0.001706756,0.00009381758,0.0003297659,0.0001374385,0.001212022],"category_scores_gemma":[0.0003027495,0.0001326107,0.0002051094,0.000462173,0.0003691124,0.0003891032,0.00001633948,0.0004893475,0.0002351011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007732757,"about_ca_system_score_gemma":0.003416312,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7530858,"about_ca_topic_score_gemma":0.8455738,"domain_scores_codex":[0.998005,0.0001630326,0.0003153567,0.0001913941,0.0003409183,0.0009843328],"domain_scores_gemma":[0.9984485,0.0001175013,0.00001701901,0.0001176562,0.00009358551,0.001205749],"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":[0.000004986391,0.000009083627,0.004629387,0.00002924462,0.00009264017,0.00112785,0.07908393,0.00003692824,0.00004218787,0.01229743,0.8140499,0.08859641],"study_design_scores_gemma":[0.00005768774,0.00002610474,0.006954324,0.00005448077,0.00002008787,0.00004755355,0.05904801,0.0001178346,0.000001378024,0.01058775,0.922898,0.0001868114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5817852,0.1611904,0.00005457521,0.04742996,0.008539867,0.0003280822,0.0001695474,0.0002498704,0.2002525],"genre_scores_gemma":[0.9792863,0.007027889,0.0002144812,0.005228447,0.003821162,0.000004234296,0.000008464216,0.00002985695,0.004379236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.397501,"threshold_uncertainty_score":0.999701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01644453897868734,"score_gpt":0.3056442391517156,"score_spread":0.2891997001730282,"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."}}