{"id":"W4232452588","doi":"10.2139/ssrn.3949190","title":"Clothes Identification Using Inception ResNet V2 and MobileNet V2","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Face recognition and analysis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lambton College","funders":"","keywords":"Identification (biology); Computer science","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":[0.0008667771,0.00008141604,0.0001064702,0.0001183919,0.0002226466,0.0002997874,0.0001886382,0.00004340018,0.00002231119],"category_scores_gemma":[0.00003854425,0.00007832854,0.00006494412,0.0003499987,0.00002457508,0.0004867614,0.00005582387,0.000446006,0.00002018239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002514065,"about_ca_system_score_gemma":0.0006618716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002107296,"about_ca_topic_score_gemma":0.0002008992,"domain_scores_codex":[0.9985855,0.0001360753,0.0002169443,0.0002240125,0.0002025938,0.0006348973],"domain_scores_gemma":[0.9994833,0.00002244678,0.0001311152,0.0001692096,0.0001352355,0.00005869056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001157849,0.0001498013,0.002334615,0.00001692467,0.0002733387,0.00001920912,0.0006537695,0.0007690237,0.09813041,0.1429154,0.0001206142,0.7546054],"study_design_scores_gemma":[0.001451712,0.0002289731,0.007769485,0.0001241728,0.0001955795,0.004176562,0.004125061,0.2085949,0.02144471,0.7475106,0.003593674,0.0007846822],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4189332,0.00298426,0.5768813,0.0009221981,0.0001156367,0.00003449118,9.129718e-7,0.00003456458,0.00009339128],"genre_scores_gemma":[0.990559,0.006415156,0.00215069,0.0001081846,0.0001096985,0.000001619142,0.000004152043,0.000006987846,0.0006444845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7538207,"threshold_uncertainty_score":0.3194145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0126894191518953,"score_gpt":0.251715638213765,"score_spread":0.2390262190618697,"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."}}