{"id":"W4388135216","doi":"10.2147/prbm.s430455","title":"The General Mattering Scale, the Anti-Mattering Scale, and the Fear of Not Mattering Inventory: Psychometric Properties and Links with Distress and Hope Among Chinese University Students","year":2023,"lang":"en","type":"article","venue":"Psychology Research and Behavior Management","topic":"Psychological Treatments and Assessments","field":"Psychology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Canada Research Chairs","keywords":"Psychology; Scale (ratio); Distress; Feeling; Rasch model; Social psychology; Mainland China; Affect (linguistics); Clinical psychology; Developmental psychology; China","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001215301,0.0004539663,0.0003953844,0.001309355,0.00073349,0.0006144939,0.0004917003,0.0004354454,0.001705529],"category_scores_gemma":[0.003839052,0.0002422532,0.0006885802,0.0008821103,0.0006173657,0.0004896095,0.0008135031,0.0006219376,0.0001302343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007203196,"about_ca_system_score_gemma":0.001022937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008472856,"about_ca_topic_score_gemma":0.01169942,"domain_scores_codex":[0.9995344,0.00009144824,0.00007884896,0.0000635408,0.0001518089,0.00007996173],"domain_scores_gemma":[0.9977769,0.0002826151,0.001002411,0.0001113991,0.0002832524,0.0005433869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004072271,0.000121806,0.9922416,0.00002999364,0.00004611109,0.00004572176,0.0008829771,0.00004594104,0.0004078474,0.00003634628,0.0001517554,0.005949195],"study_design_scores_gemma":[0.000004509947,0.00005388846,0.9989402,0.000009139305,0.00001580938,0.00004647213,0.0005728331,0.0001714471,0.00006233799,0.00003292321,0.00008398083,0.000006541266],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995918,0.00005401461,0.00004090822,0.00003371272,0.000003245971,0.00001976474,0.00004675083,0.000001727296,0.0002080981],"genre_scores_gemma":[0.9994698,0.00006305392,0.0001463059,0.00002063911,0.000005226722,0.00002714466,0.0001156742,6.541224e-7,0.0001513773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008472856,"threshold_uncertainty_score":0.01684707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09089730479661116,"score_gpt":0.401490856435645,"score_spread":0.3105935516390338,"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."}}