{"id":"W2947500462","doi":"","title":"A new environment adapted to preliminary design in industry","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Systems engineering; Engineering","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":[0.003010353,0.00199779,0.001219814,0.001893923,0.000897183,0.004046665,0.003069313,0.001749535,0.05550632],"category_scores_gemma":[0.00511938,0.001588726,0.002342704,0.001143571,0.001330586,0.003321397,0.006164906,0.002730629,0.01874888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004386492,"about_ca_system_score_gemma":0.001151656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009576953,"about_ca_topic_score_gemma":0.001613171,"domain_scores_codex":[0.9978814,0.0005431731,0.0001917806,0.0003437877,0.0008924742,0.0001474036],"domain_scores_gemma":[0.996332,0.001376663,0.0001038697,0.001389805,0.0005182952,0.0002792832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001076287,0.001164062,0.002522551,0.00204966,0.0002097174,0.002002737,0.006047104,0.0738626,0.1169597,0.1369331,0.0715375,0.5856351],"study_design_scores_gemma":[0.000237636,0.0002972825,0.001542312,0.0003953848,0.0001032679,0.001506726,0.0004295531,0.100891,0.02466263,0.0444184,0.8253176,0.0001982135],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00347252,0.00008574842,0.9633254,0.0001067487,0.0001610757,0.0001964921,0.0005630673,0.01917158,0.01291733],"genre_scores_gemma":[0.02832731,0.0002917369,0.9341036,0.0001251316,0.00006461817,0.0007604836,0.001954474,0.01253819,0.02183444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05550632,"threshold_uncertainty_score":0.1856871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01641853722941233,"score_gpt":0.2048371305147428,"score_spread":0.1884185932853305,"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."}}