{"id":"W6963047689","doi":"10.17632/9jhhttr8fz.1","title":"Punjabi translation of the Western Ontario Rotator Cuff Index and to evaluate its adaptation, validity and reliability","year":2025,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rotator cuff; Reliability (semiconductor); Delphi method; Usability; Delphi; Intraclass correlation; Index (typography); Content validity; Quality of life (healthcare)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004820172,0.001040708,0.001253408,0.00564154,0.001259267,0.001656482,0.002217163,0.0009329271,0.0517763],"category_scores_gemma":[0.02691885,0.0008540851,0.001102801,0.009541065,0.0004892671,0.0009090114,0.001859869,0.001724817,0.03320999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003405021,"about_ca_system_score_gemma":0.008876132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.178549,"about_ca_topic_score_gemma":0.2598935,"domain_scores_codex":[0.9973471,0.0005900444,0.0005878057,0.0004219856,0.0008015647,0.0002514828],"domain_scores_gemma":[0.9898924,0.0023143,0.0008181102,0.001552186,0.005149215,0.0002738505],"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":[0.0006442124,0.0002082638,0.01592741,0.003577876,0.0001561041,0.0001579129,0.0006860245,0.0006015034,0.00030751,0.00140135,0.9408609,0.035471],"study_design_scores_gemma":[0.0006848864,0.00008320508,0.1126766,0.002053802,0.0001556055,0.000188645,0.0009117459,0.0008607461,0.0004581755,0.000773224,0.8810675,0.00008583196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003376107,0.0001253126,0.0003324724,0.0001963494,0.00004952825,0.0003493535,0.9924558,0.0001493966,0.002965707],"genre_scores_gemma":[0.004163264,0.0001406886,0.002071088,0.00008458152,0.00001649995,0.00385805,0.9864292,0.0001472001,0.003089379],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.178549,"threshold_uncertainty_score":0.3550194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1172028887694646,"score_gpt":0.3397692200123,"score_spread":0.2225663312428354,"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."}}