{"id":"W4391120668","doi":"10.1007/978-3-031-48266-3_6","title":"HSD and Resiliency Through Networks","year":2023,"lang":"en","type":"book-chapter","venue":"Canada and international affairs","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Roads University; Thompson Rivers University","funders":"","keywords":"Interconnectivity; Prejudice (legal term); Context (archaeology); China; Political science; Racism; State (computer science); Sociology; Public relations; Social psychology; Psychology; Gender studies; Geography; Social science; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000755339,0.000423538,0.0001724373,0.0008529803,0.004005147,0.007722852,0.0007555272,0.001347531,0.03823985],"category_scores_gemma":[0.001661736,0.0001668924,0.0001706762,0.001297835,0.0080874,0.005883355,0.003047363,0.002399722,0.003183303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008154019,"about_ca_system_score_gemma":0.005897777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04576662,"about_ca_topic_score_gemma":0.091524,"domain_scores_codex":[0.9995524,0.0001512583,0.000006725101,0.00004717455,0.0001081102,0.0001343237],"domain_scores_gemma":[0.9995335,0.0001678645,0.0000269222,0.00005766711,0.00008341289,0.0001306041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000027943,0.000007539015,0.0000673445,0.000009653717,7.489907e-7,0.00002129087,0.00181031,0.0001693239,0.00001902657,0.9550322,0.02687081,0.015989],"study_design_scores_gemma":[0.000002186421,0.000006044684,0.0002272159,0.0001031538,0.000001906948,0.00004174541,0.004402016,0.0001498102,0.00005170931,0.3122631,0.682746,0.000005032416],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001464867,0.001741314,0.001195437,0.005056738,0.0003370551,0.00001070204,0.00002202369,0.00001840614,0.9901535],"genre_scores_gemma":[0.1448871,0.004451269,0.00104398,0.001714325,0.00030229,0.00005480992,0.00003208541,0.0000549308,0.8474593],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04576662,"threshold_uncertainty_score":0.1279251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04926265655576334,"score_gpt":0.336893741746033,"score_spread":0.2876310851902697,"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."}}