{"id":"W2952447596","doi":"","title":"Analyzing BIM topics and clusters through ten years of scientific publications","year":2019,"lang":"en","type":"preprint","venue":"Espace ÉTS (ETS)","topic":"BIM and Construction Integration","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Data science; Regional science; Library science; Engineering ethics; Engineering; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001187142,0.0001316904,0.0001912261,0.0002310573,0.0000496841,0.0001896815,0.000163634,0.0001953552,0.00005385946],"category_scores_gemma":[0.00003350027,0.0001448832,0.00006866039,0.0002619726,0.0001034646,0.0001637912,0.0001215147,0.0002964453,0.00002339448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000559631,"about_ca_system_score_gemma":0.0000614892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003958109,"about_ca_topic_score_gemma":0.00007932477,"domain_scores_codex":[0.9992353,0.00001866383,0.0002088124,0.0002628962,0.0001395753,0.0001346959],"domain_scores_gemma":[0.9992907,0.00002537641,0.00008809048,0.0004568956,0.0001004085,0.00003852861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004178814,0.0001572462,0.07447184,0.003542438,0.001452682,0.000004851296,0.02091835,0.2115098,0.009166483,0.2110163,0.06895295,0.3987653],"study_design_scores_gemma":[0.001484617,0.00007329114,0.1152783,0.001270172,0.0005189773,0.00004494809,0.003994394,0.2234665,0.007917793,0.01441115,0.6291674,0.002372463],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9179402,0.001815425,0.05436916,0.001922502,0.006096422,0.0006103129,0.0001071543,0.0004196971,0.01671912],"genre_scores_gemma":[0.991943,0.0001761734,0.004228173,0.00001435859,0.000130025,0.00002277243,0.00007491584,0.00002602636,0.003384551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5602145,"threshold_uncertainty_score":0.5908166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511220302204512,"score_gpt":0.2410607997288431,"score_spread":0.225948596706798,"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."}}