{"id":"W4296000346","doi":"10.5281/zenodo.7084625","title":"Skincell Advanced Reviews [Australia, Canada, USA] Ingredients, Scam or Legit, Where to Buy?","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005974649,0.0009939773,0.0007130016,0.001481146,0.001426845,0.003478862,0.001112238,0.002869842,0.4703206],"category_scores_gemma":[0.002511284,0.0004554431,0.0007196701,0.001727839,0.0005410062,0.002298729,0.001152182,0.00324414,0.3326894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002126183,"about_ca_system_score_gemma":0.005605394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03287917,"about_ca_topic_score_gemma":0.102309,"domain_scores_codex":[0.9993935,0.0000433864,0.00002812581,0.00008156732,0.0003816356,0.00007190785],"domain_scores_gemma":[0.9979327,0.000150858,0.00008637358,0.00007074511,0.00137846,0.0003809826],"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":[0.00001153101,0.00002667874,0.00002145685,0.0004223126,0.000002038366,0.00002893821,0.00001753262,0.00001566078,0.0003507626,0.001019127,0.9280996,0.06998441],"study_design_scores_gemma":[0.000004048059,0.000008413946,0.0000986923,0.0002057199,0.000001471051,0.00003299284,0.00001502952,0.000009140389,0.00004792598,0.000115368,0.999458,0.000003177137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003675403,0.07074981,0.000648275,0.01153873,0.02150606,0.0003595641,0.001535648,0.001122985,0.8921714],"genre_scores_gemma":[0.0009854937,0.03662549,0.0006545336,0.007806577,0.001370654,0.00009466812,0.0009004985,0.0003004123,0.9512617],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5296794,"threshold_uncertainty_score":0.7555234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07949388615245143,"score_gpt":0.2668424997436758,"score_spread":0.1873486135912244,"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."}}