{"id":"W4247678296","doi":"10.1017/cem.2019.276","title":"P085: What do community paramedics assess? An environmental scan and content analysis of patient assessment in community paramedicine","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Agriculture and Farm Safety","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Categorization; Content analysis; International Classification of Functioning, Disability and Health; Psychological intervention; Needs assessment; Physical therapy; Nursing; Rehabilitation; Computer science","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":[0.005993153,0.0002127449,0.0003465064,0.001513412,0.002299423,0.001744141,0.0008326565,0.00085747,0.002962712],"category_scores_gemma":[0.03735602,0.0002642109,0.0004100185,0.001445651,0.0009048794,0.002048896,0.00238145,0.001165079,0.0005450642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003118331,"about_ca_system_score_gemma":0.007415551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008375366,"about_ca_topic_score_gemma":0.01630842,"domain_scores_codex":[0.9949448,0.002858967,0.0006453943,0.0002460624,0.0008200242,0.0004847916],"domain_scores_gemma":[0.9747338,0.01325031,0.003286387,0.0005406178,0.006584537,0.00160427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004092364,0.0008417242,0.7003361,0.001152,0.00008230894,0.001144534,0.1374233,0.0001783676,0.002030363,0.0009438459,0.01738184,0.1380764],"study_design_scores_gemma":[0.00004724845,0.0005932132,0.6903833,0.001046821,0.00008029616,0.001066497,0.2859223,0.000961115,0.001869611,0.0009664432,0.0169933,0.00006981656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839979,0.0002215294,0.00158823,0.004817558,0.00009057062,0.0008755543,0.001023748,0.00005313527,0.007331776],"genre_scores_gemma":[0.9899478,0.0003018733,0.006038619,0.001173171,0.00003834084,0.0008274489,0.000496284,0.0000313099,0.001145145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008375366,"threshold_uncertainty_score":0.03169525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0923431871758813,"score_gpt":0.3011338979379975,"score_spread":0.2087907107621162,"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."}}