{"id":"W2474434266","doi":"10.1007/s10463-016-0569-6","title":"On the identifiability of start-up demonstration mixture models","year":2016,"lang":"en","type":"article","venue":"Annals of the Institute of Statistical Mathematics","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Fonds National de la Recherche Luxembourg","keywords":"Identifiability; Mathematics; Binary number; Component (thermodynamics); Start up; Quality (philosophy); Algorithm; Computer science; Mathematical optimization; Applied mathematics; Statistics; Arithmetic","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":[0.01945236,0.001817517,0.003351365,0.002632006,0.001499601,0.003507385,0.005450994,0.005237207,0.005897216],"category_scores_gemma":[0.1467631,0.002515591,0.002930516,0.002161004,0.005904317,0.01065873,0.008147185,0.01016325,0.001307453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696994,"about_ca_system_score_gemma":0.002473867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002865643,"about_ca_topic_score_gemma":0.002006158,"domain_scores_codex":[0.9896557,0.005543529,0.0006274972,0.002026615,0.001512582,0.0006340147],"domain_scores_gemma":[0.757865,0.2138232,0.008012936,0.01286247,0.0055019,0.001934456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000912757,0.000244395,0.005614773,0.0003926006,0.000289354,0.0005639241,0.001524072,0.2616247,0.003474641,0.6618199,0.003998243,0.05954061],"study_design_scores_gemma":[0.00005494344,0.00006483775,0.0007920066,0.00008381662,0.00004105035,0.0001238503,0.00008643981,0.622135,0.001146768,0.3745658,0.0008457577,0.0000596802],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01827423,0.0003154094,0.9789928,0.000645329,0.0000325344,0.00003923976,0.000243249,0.000207835,0.001249555],"genre_scores_gemma":[0.7100253,0.002004801,0.2725591,0.0009221213,0.000532059,0.0005758039,0.003462978,0.0007299197,0.009187879],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01945236,"threshold_uncertainty_score":0.1028752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1736657261290341,"score_gpt":0.3838608491457501,"score_spread":0.210195123016716,"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."}}