{"id":"W2096874182","doi":"","title":"BENEFIT-DETRIMENT ANALYSIS FOR NEW RESCUE TECHNOLOGIES","year":2014,"lang":"en","type":"article","venue":"","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Task (project management); Risk analysis (engineering); Computer science; Computer security; Search and rescue; Engineering; Business; Artificial intelligence; Systems engineering","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":[0.01176154,0.001409313,0.0006108409,0.005322419,0.0009448252,0.002604787,0.0008074589,0.001129524,0.01242857],"category_scores_gemma":[0.03777438,0.000389754,0.002580628,0.001714692,0.003051688,0.003461305,0.002120021,0.002373886,0.0005195388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004427968,"about_ca_system_score_gemma":0.002991762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004499025,"about_ca_topic_score_gemma":0.004488619,"domain_scores_codex":[0.9915581,0.004775541,0.0003173639,0.000493409,0.002372544,0.0004830122],"domain_scores_gemma":[0.9366267,0.05492647,0.002449561,0.001784698,0.003918477,0.0002939514],"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":[0.0009679993,0.0007731766,0.02846559,0.001750126,0.0006522104,0.0004176812,0.001508537,0.4126146,0.007562466,0.4487301,0.003598577,0.09295881],"study_design_scores_gemma":[0.00009779429,0.0008274527,0.017841,0.0002895414,0.0004202622,0.0002122273,0.001317908,0.7402481,0.007255354,0.2213323,0.01001143,0.0001467809],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.207,0.0004491519,0.7335051,0.001399043,0.0001567448,0.001441652,0.001661894,0.0005195264,0.05386683],"genre_scores_gemma":[0.8796332,0.0001465143,0.1145607,0.0001653252,0.00004055829,0.0008112424,0.0003186263,0.00006937545,0.00425436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01242857,"threshold_uncertainty_score":0.06220174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02392787564167597,"score_gpt":0.3081060789511875,"score_spread":0.2841782033095115,"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."}}