{"id":"W4312311404","doi":"10.22161/ijaers.910.54","title":"Benefits vs. harms of using Mega Hair","year":2022,"lang":"en","type":"article","venue":"International Journal of Advanced Engineering Research and Science","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Capilano University","funders":"","keywords":"Hair loss; Hair cycle; Medicine; Traction (geology); Physiology; Hair removal; Hair growth; Dermatology; Endocrinology; Biology","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":[0.002434222,0.0002805796,0.0004426022,0.0005875934,0.000681386,0.0008212305,0.0001810885,0.0008751833,0.006136969],"category_scores_gemma":[0.009142158,0.0001062309,0.001222891,0.0003610788,0.0008291854,0.0008684985,0.0008267164,0.001023552,0.0003489931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005497,"about_ca_system_score_gemma":0.0006564782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001128621,"about_ca_topic_score_gemma":0.003122397,"domain_scores_codex":[0.9977043,0.00092896,0.000200933,0.00009941537,0.0008720544,0.0001944292],"domain_scores_gemma":[0.9946051,0.002969936,0.001152266,0.0002071498,0.0006668225,0.0003987509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01132394,0.004899121,0.2000636,0.01070692,0.002485075,0.002171748,0.005156655,0.001247811,0.00946683,0.009320593,0.007346797,0.7358108],"study_design_scores_gemma":[0.00076346,0.02575729,0.833144,0.006930892,0.003729321,0.006610577,0.02703568,0.001210288,0.008314461,0.01157114,0.07468802,0.0002448926],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9218687,0.03517192,0.0005836582,0.006401411,0.0005713882,0.0003650417,0.0008692535,0.00001860687,0.03415011],"genre_scores_gemma":[0.9858729,0.009011968,0.0008111072,0.0009174073,0.0001887208,0.00007752977,0.0001151073,0.000004864715,0.003000475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006136969,"threshold_uncertainty_score":0.02053028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06561873057814732,"score_gpt":0.3779150911175155,"score_spread":0.3122963605393682,"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."}}