{"id":"W6962915131","doi":"10.17605/osf.io/8c5vf","title":"Feelings of Fit, Authenticity, and Identity-Based Consequences","year":2022,"lang":"en","type":"other","venue":"Open Science Framework","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Feeling; State (computer science); Qualitative research; Social relation; Personality","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":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003698322,0.0003462777,0.0006559288,0.0009049003,0.0005113588,0.001213106,0.007028527,0.0002548212,0.03358879],"category_scores_gemma":[0.002075976,0.0003334628,0.00007632574,0.003337633,0.007171255,0.0006632927,0.003307096,0.0006834142,0.0006790056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001672053,"about_ca_system_score_gemma":0.001580974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003515549,"about_ca_topic_score_gemma":0.0004581643,"domain_scores_codex":[0.9957014,0.0001744352,0.0004072155,0.001157725,0.001986214,0.0005729611],"domain_scores_gemma":[0.9971035,0.0002617026,0.0008837003,0.001387988,0.000121054,0.000242102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001536783,0.0006821209,0.02291362,0.0005802584,0.0001596246,0.0001331452,0.002097713,0.0001352319,0.00829473,0.4218585,0.5407825,0.002208854],"study_design_scores_gemma":[0.0009163317,0.0004233522,0.001326647,0.003478516,0.0002503476,0.00003125196,0.001363412,0.0004818407,0.002312389,0.1126883,0.8748001,0.001927552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01072169,0.001385605,0.001484495,0.0008531772,0.001780617,0.002829576,0.001161693,0.0003165087,0.9794666],"genre_scores_gemma":[0.2754758,0.0001608559,0.2407901,0.00278822,0.0003821797,0.0004691083,0.00007506875,0.002157228,0.4777014],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5017653,"threshold_uncertainty_score":0.9999117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04826850548088795,"score_gpt":0.3844026296465049,"score_spread":0.3361341241656169,"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."}}