{"id":"W2546488628","doi":"10.5430/jnep.v7n3p77","title":"Critical appraisal and selection of data collection instruments: A step-by-step guide","year":2016,"lang":"en","type":"article","venue":"Journal of Nursing Education and Practice","topic":"Health Education and Validation","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data collection; Selection (genetic algorithm); Trustworthiness; Computer science; Critical appraisal; Data science; Management science; Engineering; Medicine; Sociology; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2437561,0.006118509,0.007027526,0.02621264,0.006402599,0.00932711,0.009021098,0.004842635,0.02111728],"category_scores_gemma":[0.4171123,0.004709941,0.004313678,0.01690598,0.008156769,0.008569881,0.006891067,0.01280591,0.01438213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00879608,"about_ca_system_score_gemma":0.05914114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003918451,"about_ca_topic_score_gemma":0.008717551,"domain_scores_codex":[0.6875457,0.2081856,0.0646989,0.006795834,0.030266,0.002507978],"domain_scores_gemma":[0.4098118,0.3158638,0.02588687,0.02384687,0.2176367,0.006953925],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001431907,0.00130736,0.001416653,0.03778101,0.0005238048,0.001490538,0.0486541,0.003093393,0.007701511,0.02419861,0.3834579,0.4889433],"study_design_scores_gemma":[0.002417565,0.00139751,0.00477861,0.04881411,0.0003997595,0.00167672,0.02518069,0.0122337,0.005708496,0.06781005,0.8284155,0.001167252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"methods","genre_scores_codex":[0.005158115,0.007230194,0.3732569,0.01793932,0.00520898,0.5695241,0.004792849,0.004828922,0.01206062],"genre_scores_gemma":[0.003637285,0.002418875,0.7182868,0.001467452,0.0004323696,0.2700722,0.0007447884,0.0002866071,0.002653748],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7562439,"threshold_uncertainty_score":0.9325834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2013333864293232,"score_gpt":0.5689650538424537,"score_spread":0.3676316674131304,"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."}}