{"id":"W2887697636","doi":"10.1061/9780784481264.003","title":"Recommender System for Improving BIM Efficiency: An Interior Finishing Case Study","year":2018,"lang":"en","type":"article","venue":"Construction Research Congress 2018","topic":"BIM and Construction Integration","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Recommender system; Computer science; World Wide Web","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":[0.002494329,0.0006300746,0.0009934836,0.0008742918,0.0008304612,0.001048458,0.001391579,0.001493737,0.003344196],"category_scores_gemma":[0.003865085,0.0003703854,0.0007670281,0.001182133,0.000435627,0.001365102,0.0008800677,0.0006318484,0.0008038542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006582873,"about_ca_system_score_gemma":0.000531835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008594241,"about_ca_topic_score_gemma":0.01257033,"domain_scores_codex":[0.9983851,0.0006640407,0.0001033428,0.0002141532,0.0005403282,0.00009304462],"domain_scores_gemma":[0.9976579,0.001126776,0.0001059691,0.0004095865,0.0006172446,0.00008246127],"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":[0.00114514,0.002681487,0.02249211,0.00108153,0.0003206178,0.003182495,0.002997914,0.2076285,0.04995655,0.01501404,0.008266537,0.6852331],"study_design_scores_gemma":[0.0001506688,0.0009646171,0.01004383,0.00006121015,0.0001915319,0.001323815,0.001145058,0.9263311,0.03545344,0.002239176,0.02197761,0.0001179436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.548412,0.0007768683,0.4348765,0.0006681904,0.00005166338,0.0004506201,0.0002286573,0.001754859,0.01278062],"genre_scores_gemma":[0.6833721,0.0004779125,0.3072066,0.00007437781,0.00001916757,0.0001317921,0.0002784245,0.00009539103,0.008344343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008594241,"threshold_uncertainty_score":0.01708841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06519546889621741,"score_gpt":0.3512973582163273,"score_spread":0.2861018893201099,"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."}}