{"id":"W3015701520","doi":"10.2196/18295","title":"Consumer Preference of Products for the Prevention and Treatment of Stretch Marks: Systematic Product Search","year":2020,"lang":"en","type":"article","venue":"JMIR Dermatology","topic":"Bee Products Chemical Analysis","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Preference; Ingredient; Advertising; Marketing; Business; Food science; Mathematics; Statistics; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008055472,0.00009369964,0.0003677737,0.000006790466,0.00004307522,0.000007545362,0.000142602,0.00004278978,0.00002960997],"category_scores_gemma":[0.0001651075,0.00002858995,0.00006084498,0.0002425452,0.0001428876,0.00003669369,0.00004029105,0.00003367676,0.000002089289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006286454,"about_ca_system_score_gemma":0.00001210377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002573138,"about_ca_topic_score_gemma":0.00002225413,"domain_scores_codex":[0.999078,0.0001173648,0.0003022368,0.0002690979,0.0001010761,0.0001322422],"domain_scores_gemma":[0.9992401,0.0003239815,0.0001519402,0.00008631066,0.0001638868,0.00003378506],"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":[0.0002179672,0.0004686551,0.02028756,0.0118137,0.0004183321,0.000001573374,0.001212675,0.000002435823,0.9361789,0.0003884526,0.0004926968,0.02851706],"study_design_scores_gemma":[0.0004469798,0.0007252184,0.01522603,0.0002541704,0.0003763228,0.00004473723,0.0007641719,0.001036258,0.9797685,0.0003125626,0.0008637855,0.0001813335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819674,0.002195944,0.000003273864,0.01426691,0.0000146191,0.00150962,0.00001941892,0.00001210385,0.00001065306],"genre_scores_gemma":[0.9993945,0.0001574981,0.0001291886,0.00002433845,0.00003896834,0.0001892938,0.00001751242,7.442189e-7,0.00004794549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04358955,"threshold_uncertainty_score":0.1165864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07862520086860485,"score_gpt":0.2704520979425978,"score_spread":0.1918268970739929,"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."}}