{"id":"W1602735207","doi":"","title":"Weakening of the Earning Power in Austrian Manufacturing","year":2009,"lang":"en","type":"article","venue":"WIFO Monatsberichte (monthly reports)","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cash flow; Equity (law); Quarter (Canadian coin); Economics; Manufacturing; Business; Finance; Geography","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":[0.001198708,0.0001296941,0.0002903593,0.001022775,0.0002664705,0.001235028,0.0002200069,0.0002846989,0.002528613],"category_scores_gemma":[0.002977461,0.0001268659,0.0001584873,0.0008417945,0.0005329499,0.0007291131,0.001048387,0.0004037572,0.000693984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008621513,"about_ca_system_score_gemma":0.0003608146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003162365,"about_ca_topic_score_gemma":0.002833086,"domain_scores_codex":[0.9992873,0.0001193794,0.00004316875,0.0001458799,0.0001612656,0.0002430727],"domain_scores_gemma":[0.9989189,0.000197513,0.0004630378,0.0001131128,0.0001643811,0.0001431401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007322117,0.0001039506,0.7268128,0.0001505182,0.0001286307,0.0009467205,0.002296387,0.008929089,0.007564859,0.03106992,0.003363548,0.2179014],"study_design_scores_gemma":[0.00001104722,0.00009564224,0.9859192,0.00003733197,0.00001203142,0.0001539836,0.0005451238,0.001724369,0.0007570482,0.002623013,0.008109757,0.00001143587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927425,0.0004334894,0.0003377834,0.0003659882,0.000007866697,0.000002305256,0.0001220002,0.00000789044,0.00598022],"genre_scores_gemma":[0.9990249,0.000145374,0.00009554768,0.00003232538,0.000007104046,0.000001174388,0.0000912715,0.00000149765,0.0006006989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003162365,"threshold_uncertainty_score":0.008459032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356303903026656,"score_gpt":0.2729927631545388,"score_spread":0.2594297241242722,"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."}}