{"id":"W4378188337","doi":"10.18280/ria.370207","title":"A Machine Learning Based Approach for Classification of Road Surfaces","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning","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":[0.0002911653,0.0001170816,0.0001643569,0.000130121,0.00007907906,0.00001753159,0.0001494357,0.00006687744,0.00001942526],"category_scores_gemma":[0.00008920153,0.0001156888,0.00008081485,0.0004396695,0.00003492031,0.0000612876,0.00001441877,0.0001298842,0.00003041162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002978766,"about_ca_system_score_gemma":0.000011229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001379744,"about_ca_topic_score_gemma":0.000001504448,"domain_scores_codex":[0.9991772,0.00001486032,0.0002889718,0.0001744658,0.0000889204,0.0002555608],"domain_scores_gemma":[0.9995543,0.00008742066,0.00005420031,0.0001947967,0.0000743152,0.00003496461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008845162,0.000009438494,0.0005520172,0.0002250018,0.000009855039,4.269865e-7,0.0003298886,0.931128,0.04754961,0.0004017899,0.0001484265,0.0196367],"study_design_scores_gemma":[0.00003084646,0.00003094784,0.0003315496,0.00003573712,0.000007407136,7.776028e-7,0.0005893793,0.8819533,0.1133459,0.0001227477,0.003443257,0.0001081481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07495046,0.0002453255,0.9203175,0.00004801477,0.000432371,0.0003462443,0.00001627417,0.0004446421,0.003199203],"genre_scores_gemma":[0.9949088,0.000062233,0.004314455,0.00000468902,0.00008094044,0.00005984844,0.00006870762,0.00003105366,0.0004692615],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9199584,"threshold_uncertainty_score":0.4717651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03958346908851553,"score_gpt":0.2599244655968798,"score_spread":0.2203409965083642,"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."}}