{"id":"W1490450164","doi":"10.1007/bf03405178","title":"Ensuring a Broad and Inclusive Approach","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Disaster Response and Management","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada; Ministry of Health and Long Term Care","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003643493,0.00009542196,0.00025313,0.0005343662,0.0006879858,0.00003773503,0.0001886547,0.00006537041,0.0002110707],"category_scores_gemma":[0.0003450483,0.00008357212,0.00003843414,0.0001875745,0.00005374163,0.0002865365,0.00005047359,0.0004803625,0.00003412894],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000873108,"about_ca_system_score_gemma":0.008693436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008562209,"about_ca_topic_score_gemma":0.05269508,"domain_scores_codex":[0.9976898,0.0006368129,0.0005858631,0.0001166193,0.0001680883,0.0008027725],"domain_scores_gemma":[0.9968504,0.0000943658,0.0003563461,0.0001498141,0.0001639667,0.002385064],"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":[0.0000258602,0.00007787129,0.02343266,0.0005131118,0.0001376882,0.00007674939,0.1388407,0.00002465284,0.000004699394,0.04581882,0.1943622,0.596685],"study_design_scores_gemma":[0.0006190539,0.00008430891,0.01421313,0.00008870839,0.000004625292,0.00004027289,0.02076996,0.00006190888,1.382714e-7,0.0001592789,0.9638836,0.00007497304],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6819968,0.004745231,0.00644715,0.1629603,0.0008238596,0.0008930114,0.00002955124,0.00002542919,0.1420787],"genre_scores_gemma":[0.9779849,0.0001339821,0.001762072,0.01603492,0.0006209619,0.000008694287,0.000003098319,0.00001802409,0.003433356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7695214,"threshold_uncertainty_score":0.9980398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1113579324516073,"score_gpt":0.4016671552034924,"score_spread":0.2903092227518851,"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."}}