{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003019583,0.0000549145,0.0001258752,0.0004888104,0.0002090963,0.0001064266,0.0007219851,0.000009307877,0.0002308298],"category_scores_gemma":[0.0006586853,0.00004911079,0.00002553576,0.0003704544,0.0002140353,0.0005437431,0.0003570167,0.0001561238,0.000001095187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001621418,"about_ca_system_score_gemma":0.0002525657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001611419,"about_ca_topic_score_gemma":5.411661e-7,"domain_scores_codex":[0.997642,0.00003016982,0.0003393425,0.0001297886,0.001636319,0.0002223837],"domain_scores_gemma":[0.9984348,0.0001125232,0.0001497874,0.00008936923,0.001111957,0.0001015274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004536501,0.00002202075,0.0000681227,0.000004430354,0.000002793508,0.000005041105,0.0001415126,0.3181224,0.6792344,0.001255918,0.00001182316,0.001086077],"study_design_scores_gemma":[0.00104136,0.0007669342,0.01397457,0.0001798323,0.000006392062,0.0005129208,0.0007049839,0.04775513,0.9304923,0.002273783,0.002086682,0.0002050972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969715,0.0002678465,0.001193496,0.0002802198,0.001169278,0.00004998071,0.00002758748,0.000006337926,0.00003374613],"genre_scores_gemma":[0.9905919,0.00004704753,0.009239876,0.0000102316,0.00008510081,0.000003456762,4.375476e-7,0.000005479442,0.00001651382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2703673,"threshold_uncertainty_score":0.2527424,"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."}}