{"id":"W2621850047","doi":"","title":"Mobility Applications, Maritime Applications","year":2013,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science","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":[0.000417749,0.001271201,0.0005419514,0.001352702,0.0009941662,0.003777868,0.0008421306,0.002462442,0.0702334],"category_scores_gemma":[0.002084049,0.0002927838,0.0003946751,0.003064527,0.0006795229,0.003667804,0.00171294,0.001298954,0.04160732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007123717,"about_ca_system_score_gemma":0.0006976949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002581822,"about_ca_topic_score_gemma":0.002672523,"domain_scores_codex":[0.999436,0.00008702507,0.00004413409,0.0001288386,0.000237281,0.000066689],"domain_scores_gemma":[0.9994074,0.0001268028,0.00005213416,0.0001336383,0.0002098249,0.00007014455],"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":[0.0000881848,0.00006361031,0.0007284515,0.001069355,0.00001898796,0.0004220582,0.0003522642,0.002296631,0.01019406,0.1941897,0.3291499,0.4614268],"study_design_scores_gemma":[0.000009957398,0.00003444279,0.0008220705,0.0001488707,0.00001545801,0.0005590661,0.0001871402,0.00492126,0.001632763,0.05226605,0.9393881,0.00001492098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01722994,0.06059178,0.2033111,0.02393072,0.01294826,0.0003412622,0.004944589,0.008769108,0.6679332],"genre_scores_gemma":[0.1537637,0.04410635,0.07235838,0.003916718,0.00787432,0.0003476549,0.00570312,0.001511571,0.7104182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0702334,"threshold_uncertainty_score":0.2349541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01079822686836041,"score_gpt":0.219614545979862,"score_spread":0.2088163191115016,"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."}}