{"id":"W7067388423","doi":"","title":"Lifetimes of machinery and equipment: evidence from Dutch manufacturing","year":2008,"lang":"en","type":"article","venue":"University of Groningen research database (University of Groningen / Centre for Information Technology)","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weibull distribution; Asset (computer security); Stock (firearms); Capital (architecture); Capital asset; Service (business); Current asset","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001221533,0.0002022542,0.0003325536,0.001563293,0.0003055478,0.0008639976,0.0007045147,0.0003560335,0.002776639],"category_scores_gemma":[0.009815535,0.000230941,0.0004227794,0.004862992,0.0003494108,0.0009452785,0.0006912895,0.0002843241,0.0005815598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428093,"about_ca_system_score_gemma":0.001012752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2122885,"about_ca_topic_score_gemma":0.2047872,"domain_scores_codex":[0.9987904,0.0001787873,0.0001997395,0.0003200127,0.0003463446,0.000164621],"domain_scores_gemma":[0.9924826,0.002031593,0.003433888,0.0005523636,0.00120546,0.0002940342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002527245,0.0000328143,0.9563403,0.0004110232,0.0002415477,0.0006730577,0.002833145,0.002258068,0.0005518225,0.00151811,0.003656573,0.03123073],"study_design_scores_gemma":[0.000004666691,0.00002759469,0.9877791,0.00008216832,0.00004782695,0.0002110055,0.001331598,0.0008355662,0.0003229232,0.0001826309,0.009161229,0.0000137556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738971,0.004326425,0.001140421,0.0002476982,0.00001773294,0.00001509566,0.01323151,0.00000993604,0.007114047],"genre_scores_gemma":[0.9842824,0.002070834,0.0002695705,0.00005068395,0.00001174724,0.00001718759,0.01175582,0.00001577026,0.001525977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2122885,"threshold_uncertainty_score":0.4221056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04467169950661542,"score_gpt":0.2316756557905412,"score_spread":0.1870039562839258,"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."}}