{"id":"W2106456038","doi":"10.5539/ibr.v7n11p153","title":"Probability of Default Estimation for Construction Firms","year":2014,"lang":"en","type":"article","venue":"International Business Research","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Solvency; Probability of default; Rank (graph theory); Identification (biology); Estimation; Scale (ratio); Business; Process (computing); Work (physics); Actuarial science; Econometrics; Credit risk; Computer science; Risk analysis (engineering); Economics; Finance; Mathematics; Engineering; Management; Market liquidity","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005392003,0.00006524948,0.0001302429,0.0006652509,0.0001463891,0.0001751568,0.0006146943,0.00004739614,0.0005297895],"category_scores_gemma":[0.0109721,0.0000516496,0.00004578754,0.001121796,0.0003142707,0.0005131115,0.000146246,0.00009282269,0.00008407987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005335406,"about_ca_system_score_gemma":0.0000828514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007346568,"about_ca_topic_score_gemma":0.00003178251,"domain_scores_codex":[0.9972332,0.0001307736,0.0004910039,0.000302329,0.001684842,0.0001578379],"domain_scores_gemma":[0.9931353,0.001405962,0.0001720246,0.0003086205,0.004947228,0.00003089907],"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":[0.0002145783,0.00006428361,0.04464762,0.00005332271,0.00001844003,1.288845e-7,0.0001018506,0.003269697,0.001101778,0.05816811,0.003167791,0.8891924],"study_design_scores_gemma":[0.0008032133,0.00008050898,0.1853149,0.00004052302,0.000004453199,0.000009083043,0.0001589091,0.1628256,0.004071151,0.5125591,0.1340011,0.0001314456],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5160961,0.00000711194,0.4564874,0.003865493,0.001497184,0.0006165178,0.00002435637,0.00002992098,0.021376],"genre_scores_gemma":[0.9797674,0.00000509972,0.01878282,0.00001741728,0.0001563488,0.00007071985,0.00002103721,0.000004883916,0.001174264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.889061,"threshold_uncertainty_score":0.9973589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2616575750186825,"score_gpt":0.4791967011716506,"score_spread":0.2175391261529681,"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."}}