{"id":"W4377981090","doi":"10.1108/intr-07-2022-0554","title":"The coping strategies in fitness apps: a three-stage analysis with findings from SEM and FsQCA","year":2023,"lang":"en","type":"article","venue":"Internet Research","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Qualitative comparative analysis; Coping (psychology); Originality; Structural equation modeling; Psychology; Social psychology; Computer science; Applied psychology; Creativity; Clinical psychology; Machine learning","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":[0.01795714,0.0008915127,0.0008314652,0.003522434,0.001879618,0.002556615,0.0007922997,0.0006131498,0.003627285],"category_scores_gemma":[0.02149889,0.0005724508,0.003500746,0.00308539,0.002264854,0.001740162,0.002160826,0.0009957592,0.0002319152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002488906,"about_ca_system_score_gemma":0.007157559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007246812,"about_ca_topic_score_gemma":0.009714718,"domain_scores_codex":[0.992258,0.005272725,0.0005328997,0.00052858,0.001086267,0.0003215811],"domain_scores_gemma":[0.9796563,0.01594345,0.001208054,0.001106116,0.001900679,0.0001854414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005642486,0.001554513,0.3875982,0.002870799,0.001073133,0.0006510557,0.1949688,0.006636681,0.01423062,0.0280781,0.001710986,0.3600629],"study_design_scores_gemma":[0.0001758114,0.003115759,0.7166133,0.00171452,0.001422101,0.0006987629,0.1688215,0.06287161,0.01296838,0.02196239,0.009363893,0.0002720233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9423137,0.0002337528,0.04821782,0.0003166626,0.00001882895,0.00374339,0.0003742881,0.00009474208,0.004686874],"genre_scores_gemma":[0.9177042,0.0001423526,0.07609247,0.00009908419,0.000004924702,0.004841068,0.0002168977,0.00002349417,0.0008754755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01795714,"threshold_uncertainty_score":0.09496754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2205846661126186,"score_gpt":0.5155188144299993,"score_spread":0.2949341483173806,"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."}}