{"id":"W4316362600","doi":"10.18280/ts.390621","title":"Classification and Retrieval of Commodity Images Oriented to Internet Marketing","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commodity; The Internet; Computer science; Artificial intelligence; Information retrieval; Marketing; Advertising; Business; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003564746,0.0003688897,0.0003850921,0.00172578,0.000264899,0.0007405627,0.0002387356,0.0004309022,0.001201786],"category_scores_gemma":[0.001187731,0.00009495427,0.0004740931,0.001059721,0.0002644296,0.0009162351,0.0002309967,0.0002938411,0.000548123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003392492,"about_ca_system_score_gemma":0.0002195237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001714737,"about_ca_topic_score_gemma":0.001178114,"domain_scores_codex":[0.9996915,0.0000542184,0.00002299439,0.00006964782,0.0001104067,0.00005128597],"domain_scores_gemma":[0.9996735,0.00007628911,0.0000474282,0.00004361622,0.0001378212,0.00002131767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000750678,0.0002590384,0.009267395,0.0002355494,0.00008127492,0.0003305236,0.0003579012,0.009206481,0.1903616,0.00304307,0.004601946,0.7815046],"study_design_scores_gemma":[0.00005511077,0.0005130981,0.06882372,0.00003204735,0.0002461853,0.0008480875,0.0009818384,0.7881609,0.1294045,0.003380138,0.00748501,0.00006928747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7312121,0.001237439,0.2581482,0.0004755885,0.0001921615,0.0002476422,0.000292937,0.0005553907,0.007638516],"genre_scores_gemma":[0.8961135,0.0008558014,0.09773482,0.00008752413,0.0001761968,0.00006078726,0.0005054662,0.0000392472,0.004426743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00172578,"threshold_uncertainty_score":0.004020333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02193369286736872,"score_gpt":0.2529988248986611,"score_spread":0.2310651320312924,"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."}}