{"id":"W2326553652","doi":"10.1097/cnj.0b013e3181edb68b","title":"The Healing Power of Tears","year":2010,"lang":"en","type":"article","venue":"Journal of Christian Nursing","topic":"Nursing Education, Practice, and Leadership","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wycliffe College","funders":"","keywords":"Certification; Tears; Power (physics); Medicine; Nursing; Family medicine; Gerontology; Management; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001718467,0.0001342268,0.0002497063,0.0001791258,0.0003881344,0.0001393499,0.0003670591,0.0001128249,0.00004611161],"category_scores_gemma":[0.0009287937,0.0001005484,0.0001624579,0.0002304663,0.0003782628,0.0003430193,0.00000267698,0.001016328,0.000006581946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009287037,"about_ca_system_score_gemma":0.0001976337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002977012,"about_ca_topic_score_gemma":0.00001149543,"domain_scores_codex":[0.9982333,0.0001679273,0.0006699637,0.0001161984,0.0004914816,0.0003211287],"domain_scores_gemma":[0.9974855,0.0006396687,0.001010759,0.0003051983,0.0004021572,0.0001567574],"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":[0.00499294,0.002223176,0.0106559,0.0001996063,0.0002794586,0.00003901097,0.1735354,0.000127222,0.2442864,0.005545244,0.2104703,0.3476454],"study_design_scores_gemma":[0.004612804,0.002918178,0.1909825,0.004955706,0.001066245,0.005138389,0.1780144,0.0003869438,0.08505224,0.03128658,0.4943173,0.00126871],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9101225,0.002562353,0.0004046399,0.05811891,0.02465617,0.0001142675,0.000001439168,0.00002139905,0.003998371],"genre_scores_gemma":[0.9957545,0.000014231,0.002606998,0.0002218497,0.001285344,3.581276e-7,4.334914e-7,0.00003099933,0.00008526467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3463767,"threshold_uncertainty_score":0.4415494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672732180036368,"score_gpt":0.3251412429272833,"score_spread":0.3084139211269196,"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."}}