{"id":"W4248109766","doi":"10.29173/mocs5","title":"Evolution Mechanism of Off-site Construction Ecosystem Based on the LotkaäóñVolterra Model: A Case Study","year":2016,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Beijing; Government (linguistics); Stakeholder; Management science; Industrial organization; Business; Environmental resource management; Computer science; Environmental economics; Ecology; Process management; Engineering; Economics; China; Political science; Management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001023992,0.0004084866,0.0004027499,0.0007961879,0.0005645095,0.0003044468,0.0002279057,0.0001345556,0.00009631063],"category_scores_gemma":[0.0001333869,0.0002837935,0.0001383959,0.0007114189,0.0002202382,0.001310664,0.000216768,0.0001717324,0.00002459853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002242435,"about_ca_system_score_gemma":0.00003984293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002974141,"about_ca_topic_score_gemma":0.0001117263,"domain_scores_codex":[0.9976054,0.00002908323,0.0006097473,0.0007256073,0.0005928942,0.0004372355],"domain_scores_gemma":[0.9982329,0.00005907061,0.0005916721,0.0003488933,0.0007274851,0.0000400059],"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":[0.0007702462,0.0006542461,0.190286,0.001813872,0.000387209,0.0003023408,0.0007616477,0.002765155,0.005497587,0.7290251,0.001747568,0.06598902],"study_design_scores_gemma":[0.004520328,0.0002460089,0.001285265,0.0004736499,0.0005708514,0.0002820114,0.04220434,0.9310936,0.000727628,0.01450081,0.003152258,0.0009431881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9621066,0.0000276224,0.03330241,0.0008533695,0.0004494763,0.001600231,0.00001498645,0.0002195222,0.00142575],"genre_scores_gemma":[0.9983932,0.000006835774,0.0006643241,0.0002448426,0.0003522146,0.0001361243,0.00000502966,0.00005240442,0.0001450374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9283285,"threshold_uncertainty_score":0.9999614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076458579314997,"score_gpt":0.192405602642026,"score_spread":0.181641016848876,"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."}}