{"id":"W4207070084","doi":"10.20380/gi2011.10","title":"Occlusion Tiling","year":2011,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Computer Research Institute of Montréal","funders":"","keywords":"Computer science; Occlusion; Medicine; Cardiology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003528942,0.0003313886,0.0003735828,0.0002332015,0.0002453328,0.0002329273,0.0006021588,0.0005793352,0.0002296599],"category_scores_gemma":[0.0004313552,0.0003544576,0.0002259866,0.0002615861,0.00005836801,0.000102264,0.0006707131,0.0008755929,0.0001668056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001431709,"about_ca_system_score_gemma":0.00008598514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009020626,"about_ca_topic_score_gemma":0.0003476646,"domain_scores_codex":[0.9967253,0.001602276,0.0005457652,0.0004963379,0.0003206147,0.0003096752],"domain_scores_gemma":[0.9969194,0.0003787742,0.0002160454,0.001481587,0.0008522601,0.0001519563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000109175,0.001142824,0.00251269,0.002848863,0.0009115905,0.00009763225,0.06131113,0.01325853,0.09857654,0.07863153,0.02637618,0.7142233],"study_design_scores_gemma":[0.001780302,0.000001084296,0.002385651,0.009547494,0.000177587,0.00008296569,0.0003565947,0.2144701,0.6670263,0.01066661,0.09099348,0.002511814],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3620198,0.001948207,0.3117855,0.0003975349,0.002987364,0.0008365234,0.00005365852,0.001886596,0.3180849],"genre_scores_gemma":[0.9899855,0.000314075,0.00615405,0.00001417237,0.00009643578,0.00003913869,0.0001209365,0.00008325896,0.003192415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7117115,"threshold_uncertainty_score":0.9998907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.020764926637079,"score_gpt":0.2175675351508469,"score_spread":0.1968026085137679,"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."}}