{"id":"W4415320835","doi":"10.64062/jpgmb.vol1.issue5.13","title":"Protective Effects of Neeli Bhringraj Oil Against Hair Breakage and Strengthening Damaged Hair Fibers: Scientific Evidence from an &lt;i&gt;In-Vitro&lt;/i&gt; Fatigue Test Model","year":2025,"lang":"","type":"article","venue":"Journal of Pharmacology Genetics and Molecular Biology","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Novelis (Canada)","funders":"","keywords":"Breakage; Ultimate tensile strength; Randomized controlled trial; Tensile testing; Environmental pollution","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"],"consensus_categories":[],"category_scores_codex":[0.00233239,0.000480589,0.001106469,0.0007133508,0.0003942089,0.0002147641,0.0006431263,0.0004328551,0.0000423372],"category_scores_gemma":[0.0008053289,0.0004561376,0.0001526414,0.0004223551,0.001413246,0.0002354065,0.000531756,0.0004205169,0.000001248888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001041634,"about_ca_system_score_gemma":0.0008219147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002745404,"about_ca_topic_score_gemma":0.00005478213,"domain_scores_codex":[0.9950578,0.001654942,0.001467453,0.000877495,0.0002877172,0.0006545968],"domain_scores_gemma":[0.9965689,0.0009704527,0.001193531,0.000360112,0.0006491109,0.0002579075],"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":[0.0004487417,0.0003787204,0.0001760783,0.0003226601,0.0001907944,0.00008379869,0.001319474,0.01098275,0.9745313,0.00007499213,0.0000857678,0.01140493],"study_design_scores_gemma":[0.00265069,0.001026231,0.001783218,0.0006942409,0.0006234079,0.00002180612,0.00006463558,0.06190592,0.9288864,0.001848762,0.0001538,0.0003408627],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656889,0.01873629,0.0118432,0.0006007298,0.002238048,0.0006515161,0.0002029078,0.00001171201,0.00002662918],"genre_scores_gemma":[0.9879389,0.003805775,0.007689429,0.0002950282,0.0001298143,0.00005973918,0.00001596119,0.00003048168,0.00003485666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05092317,"threshold_uncertainty_score":0.9997891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02023180980336144,"score_gpt":0.3286219438971772,"score_spread":0.3083901340938158,"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."}}