{"id":"W7081929583","doi":"10.1016/j.chipro.2025.100241","title":"Technology-facilitated violence against child welfare workers: A qualitative analysis","year":2025,"lang":"en","type":"article","venue":"Child Protection and Practice","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Variety (cybernetics); Welfare; Grounded theory; Qualitative research; Social media; Social Welfare; Child protection; Social work","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00105725,0.0001578002,0.0001958374,0.000378275,0.0008331641,0.0001331387,0.0003235844,0.000168468,0.0000181596],"category_scores_gemma":[0.002925254,0.0001472836,0.00006919172,0.003575311,0.0001135169,0.0005168158,0.0002000866,0.000531089,0.00001252213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002819076,"about_ca_system_score_gemma":0.00002387315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009147741,"about_ca_topic_score_gemma":0.00001439854,"domain_scores_codex":[0.9984858,0.0003855565,0.000241232,0.000546438,0.0001305639,0.0002103928],"domain_scores_gemma":[0.9988322,0.0002341397,0.0001750958,0.0004544756,0.0002522609,0.00005182351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006206419,0.0007413379,0.001775507,0.0005356066,0.004123588,0.00007272516,0.02411688,0.003333045,0.0008472786,0.1888458,0.0006557098,0.7743319],"study_design_scores_gemma":[0.001382433,0.0002201062,0.00574035,0.0007705794,0.0004973015,0.0002161538,0.04629175,0.01940291,0.004602248,0.0207542,0.8991857,0.0009362733],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004181118,0.00141307,0.4680032,0.3286074,0.0001699923,0.0006015713,0.000005111509,0.0006209681,0.1963976],"genre_scores_gemma":[0.9926626,0.0001281089,0.005634707,0.0008975036,0.00001447277,0.00009233096,0.000005106839,0.000001506835,0.0005636275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9884815,"threshold_uncertainty_score":0.6408109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562426606630231,"score_gpt":0.2993316772969726,"score_spread":0.2837074112306703,"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."}}