{"id":"W4309983705","doi":"10.5281/zenodo.7365523","title":"Laroc Derma Facial Moisturizer Testimonials: Check Unwanted effects, Doing the job, Value & Ingredients?","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":"Moisturizer; Value (mathematics); Dermatology; Medicine; Computer science; Food science; Chemistry","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":[],"category_scores_codex":[0.00118748,0.0002670593,0.000202258,0.000393754,0.002797836,0.002482827,0.0004026065,0.002349572,0.04569922],"category_scores_gemma":[0.007544388,0.0001400202,0.0002207743,0.0001923096,0.00126208,0.001506983,0.001475533,0.002614093,0.01215482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008349498,"about_ca_system_score_gemma":0.001043664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001882912,"about_ca_topic_score_gemma":0.00432377,"domain_scores_codex":[0.9991897,0.0003142751,0.00004889708,0.00004935706,0.0003204904,0.00007721286],"domain_scores_gemma":[0.9987172,0.0005962753,0.0001159976,0.0001020761,0.0003247027,0.0001438687],"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":[0.0002128579,0.00007142457,0.001158273,0.0005221608,0.00002727058,0.004909059,0.009540776,0.0001122781,0.007451422,0.03160455,0.8133563,0.1310337],"study_design_scores_gemma":[0.00001373399,0.00006834635,0.001171552,0.0004948514,0.00001740665,0.00710533,0.009809026,0.0001462636,0.004715824,0.004624431,0.9718081,0.00002499689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04489755,0.01403581,0.007304183,0.237089,0.01311516,0.0002461549,0.001010341,0.0006095762,0.6816922],"genre_scores_gemma":[0.3665659,0.01139391,0.007076476,0.08436907,0.002728966,0.0001435387,0.000404043,0.0003985022,0.5269195],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9543008,"threshold_uncertainty_score":0.1528791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03944449570954355,"score_gpt":0.2441441958241226,"score_spread":0.2046997001145791,"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."}}