{"id":"W4353100361","doi":"10.18280/ts.400127","title":"Rapid Classification of Massive Images Based on Cloud Computing Platform","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cloud computing; Computer science; Data science; Operating system","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":[0.0006928736,0.0001615215,0.000175053,0.0002908832,0.000110402,0.00007556147,0.0006537325,0.00004563541,0.00009502796],"category_scores_gemma":[0.00002338854,0.0001538268,0.00008148464,0.0006035383,0.00006043158,0.0002932684,0.0001151461,0.000113361,0.00007187793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007361711,"about_ca_system_score_gemma":0.0000533259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004211126,"about_ca_topic_score_gemma":3.460496e-7,"domain_scores_codex":[0.9983571,0.0000586593,0.000384153,0.000356921,0.0005427947,0.0003003408],"domain_scores_gemma":[0.999035,0.0001994775,0.0002285155,0.0003806684,0.0001054711,0.00005085639],"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":[0.0001007221,0.0006261124,0.0008099043,0.0001962526,0.00007186484,0.00005290429,0.001442812,0.004423427,0.3890994,0.0571867,0.05029219,0.4956977],"study_design_scores_gemma":[0.0005732251,0.0004066767,0.01137767,0.00009428911,0.00000714338,6.134758e-7,0.00005551541,0.6794063,0.3062428,0.0007233873,0.0009119401,0.0002004077],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02944312,0.00001077041,0.9645607,0.001016471,0.0002145449,0.0004064071,0.00000890049,0.0007773612,0.003561699],"genre_scores_gemma":[0.9728504,0.000005932646,0.026645,0.0002722735,0.0001019999,0.00002941276,0.00002866744,0.00001276923,0.00005358235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9434072,"threshold_uncertainty_score":0.6272873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03663024007049511,"score_gpt":0.2722583252245561,"score_spread":0.2356280851540609,"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."}}