{"id":"W7096034750","doi":"","title":"Canada’s National Search and Rescue Program (NSP)........................................................................... 6","year":2014,"lang":"en","type":"article","venue":"","topic":"Qualitative Comparative Analysis Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Search and rescue; Government (linguistics); Key (lock); Work (physics)","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":[0.001275075,0.0002451476,0.0002565699,0.001616359,0.008379391,0.00228633,0.0007611184,0.0007790865,0.02907939],"category_scores_gemma":[0.004238855,0.0002551521,0.0002656841,0.002632923,0.0009348575,0.0006948602,0.001443655,0.001263376,0.002337157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04275863,"about_ca_system_score_gemma":0.2422992,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9907525,"about_ca_topic_score_gemma":0.9957129,"domain_scores_codex":[0.9988104,0.0001636037,0.00002437106,0.00005705123,0.0005832037,0.000361337],"domain_scores_gemma":[0.9951153,0.0003273278,0.00009116322,0.00009087625,0.003170389,0.001204989],"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":[0.00008813779,0.00008196501,0.0115737,0.0006034135,0.00002204218,0.0001715968,0.003824719,0.0004113938,0.0006040382,0.03404609,0.8295082,0.1190647],"study_design_scores_gemma":[0.00001915311,0.00003290849,0.04290078,0.0004351045,0.00001971898,0.00007466497,0.009434187,0.0003718155,0.000390212,0.00116472,0.9451204,0.00003638718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05398494,0.005557579,0.004126018,0.08684465,0.001239978,0.0007315136,0.03336598,0.0007701613,0.8133792],"genre_scores_gemma":[0.3973427,0.009017062,0.01461269,0.01132147,0.00008322437,0.0005904678,0.01162576,0.0003228326,0.5550838],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04275863,"threshold_uncertainty_score":0.310237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09735201113140643,"score_gpt":0.4613084949581962,"score_spread":0.3639564838267898,"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."}}