{"id":"W4402454682","doi":"10.5206/wurjhns.2023-24.4","title":"Key Learnings and Considerations for Utilizing Social Media Recruitment in Parasport Research","year":2024,"lang":"en","type":"article","venue":"Western Undergraduate Research Journal Health and Natural Sciences","topic":"Genetics and Physical Performance","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Key (lock); Social media; Computer science; Process management; Public relations; Business; Political science; World Wide Web; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4263003,0.001953197,0.001884648,0.004665975,0.0194428,0.03214552,0.006832621,0.01322107,0.01058545],"category_scores_gemma":[0.5074986,0.002314257,0.002504966,0.003911566,0.02779911,0.04210763,0.0238543,0.01710569,0.006210685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009959242,"about_ca_system_score_gemma":0.04176104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005741279,"about_ca_topic_score_gemma":0.02440866,"domain_scores_codex":[0.3766792,0.5596094,0.0178377,0.007951893,0.03137359,0.006548123],"domain_scores_gemma":[0.3814493,0.5159239,0.02372837,0.02353511,0.03950312,0.01586029],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005585652,0.0004546108,0.01300199,0.01480734,0.000185488,0.003416029,0.3985786,0.0007223079,0.002648975,0.103555,0.06766456,0.3944065],"study_design_scores_gemma":[0.0002059176,0.0008602028,0.004743648,0.05454283,0.0001952331,0.004906198,0.384303,0.002452213,0.003608653,0.1725541,0.3711661,0.0004618671],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03246056,0.01882327,0.1314986,0.7658439,0.005451734,0.00858691,0.0004261804,0.0006403946,0.03626839],"genre_scores_gemma":[0.3207612,0.0233847,0.48302,0.128521,0.002818679,0.03059521,0.0003034924,0.0008696394,0.009726129],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5736997,"threshold_uncertainty_score":0.7074738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2802470911926755,"score_gpt":0.499278190712002,"score_spread":0.2190310995193265,"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."}}