{"id":"W4286749900","doi":"","title":"On-line car parking via 0-1 programming","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Computer science; Line (geometry); Transport engineering; Engineering; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001049264,0.0007485642,0.0007036538,0.0004016786,0.0006659006,0.001990046,0.001766804,0.0008322765,0.02234604],"category_scores_gemma":[0.002699312,0.0004083423,0.0009123128,0.0005215299,0.0008756696,0.002310391,0.00244605,0.001442599,0.003286361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009712073,"about_ca_system_score_gemma":0.0009713369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002942841,"about_ca_topic_score_gemma":0.004643977,"domain_scores_codex":[0.9991333,0.0002863551,0.00003402146,0.0001648931,0.0001710076,0.0002104148],"domain_scores_gemma":[0.9989915,0.0004628355,0.00006011365,0.0002305974,0.000174241,0.00008061658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001125526,0.0004041563,0.001814888,0.0003684774,0.00007127188,0.0002198221,0.0005308929,0.3336453,0.007617102,0.3396022,0.02949986,0.2851004],"study_design_scores_gemma":[0.00006550441,0.00007944438,0.000135839,0.00002440968,0.00001900351,0.00004565898,0.00005563121,0.8344947,0.003204865,0.1512198,0.01063941,0.0000157382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04378795,0.0001088671,0.8973684,0.0003983778,0.0001252269,0.00008598541,0.00024269,0.007998938,0.04988347],"genre_scores_gemma":[0.6290732,0.0001505039,0.3282549,0.0003710038,0.00008496744,0.0001774258,0.0006694836,0.002523241,0.0386953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02234604,"threshold_uncertainty_score":0.07475495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02260678796476328,"score_gpt":0.2547998109783139,"score_spread":0.2321930230135507,"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."}}