{"id":"W2600344422","doi":"10.15353/vsnl.v1i1.61","title":"Straightening Curved Traffic Lanes in Video","year":2015,"lang":"en","type":"article","venue":"Vision Letters","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interpolation (computer graphics); Tracking (education); Computer science; Simple (philosophy); Computer vision; Intelligent transportation system; Artificial intelligence; Computer graphics (images); Motion (physics); Engineering; Transport engineering","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":[0.000165818,0.00009160009,0.000115064,0.0001269424,0.00001898662,0.00001004446,0.0001185627,0.00009209035,0.00002274113],"category_scores_gemma":[0.00001247767,0.00008787874,0.00002354405,0.000149461,0.00003179443,0.0001009331,0.00001623176,0.0002036642,0.0001246795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004874196,"about_ca_system_score_gemma":0.000006191436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005839735,"about_ca_topic_score_gemma":0.00001619646,"domain_scores_codex":[0.999454,0.00001794039,0.0001474154,0.0001159136,0.00007702893,0.0001877199],"domain_scores_gemma":[0.9997748,0.0000251657,0.00001260284,0.0001366264,0.000005670844,0.00004518812],"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":[0.00004293285,0.00005925714,0.006968433,0.00004610033,0.00004090211,0.0002790883,0.00211289,0.740436,0.05096948,0.0004688462,0.03921159,0.1593644],"study_design_scores_gemma":[0.005283589,0.0002486594,0.09724924,0.0002317511,0.00002767849,0.00008353624,0.0008022889,0.7873573,0.01136606,0.0006721667,0.09504595,0.001631824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953909,0.0001435733,0.001368112,0.001594986,0.0001781355,0.00005851305,0.000001102576,0.000617612,0.0006470655],"genre_scores_gemma":[0.9988713,0.000006996148,0.0007782283,0.0002691412,0.00002977328,0.000004786391,0.00000433276,0.00001587177,0.00001954193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1577326,"threshold_uncertainty_score":0.3583591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185351853370384,"score_gpt":0.2190971119444396,"score_spread":0.2072435934107358,"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."}}