{"id":"W4403232030","doi":"10.1017/s0922156524000219","title":"Collateral kids: Weighing the lives of children in targeting","year":2024,"lang":"en","type":"article","venue":"Leiden Journal of International Law","topic":"Child Welfare and Adoption","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Collateral; Collateral damage; Medicine; Psychology; Political science; Criminology; 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":[0.004999115,0.0002985693,0.0002752001,0.001513787,0.004825804,0.00487397,0.0007455329,0.001275914,0.00418262],"category_scores_gemma":[0.01466857,0.0002089128,0.00024879,0.0009146062,0.006846339,0.00547401,0.00769252,0.002719464,0.000424706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005407036,"about_ca_system_score_gemma":0.002230432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009534753,"about_ca_topic_score_gemma":0.01907963,"domain_scores_codex":[0.9960822,0.002448687,0.0001023763,0.0002282755,0.0004370421,0.0007014133],"domain_scores_gemma":[0.9940739,0.002049797,0.001682367,0.000241476,0.0007762144,0.001176285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002303823,0.0001743312,0.1194413,0.0002085777,0.00005070512,0.002010939,0.6334667,0.0005494772,0.0007357734,0.1553262,0.01314063,0.07466497],"study_design_scores_gemma":[0.000009881164,0.0002908098,0.07608978,0.000856853,0.00005597357,0.001535832,0.7685153,0.0003773302,0.001139546,0.03675671,0.1142952,0.00007677489],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9138807,0.001780587,0.001728657,0.01524016,0.0001714567,0.0000573269,0.0002040977,0.00001584956,0.06692109],"genre_scores_gemma":[0.9953366,0.0008692406,0.000547299,0.0005593193,0.00002257908,0.0000344956,0.00003786737,0.000006715936,0.002585881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009534753,"threshold_uncertainty_score":0.03923094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008721978724223386,"score_gpt":0.2873022269456186,"score_spread":0.2785802482213952,"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."}}