{"id":"W1889818137","doi":"","title":"An Empirical Study on Identification of Corporate Life Cycle Phases","year":2015,"lang":"en","type":"article","venue":"Canadian social science","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profit margin; Maturity (psychological); Index (typography); Sample (material); Margin (machine learning); Empirical research; Business; Profit (economics); Life-cycle hypothesis; Product life-cycle management; Identification (biology); Econometrics; Industrial organization; Economics; Operations management; Classical economics; Marketing; Computer science; Statistics; Mathematics; Microeconomics; Macroeconomics; Political science; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001795596,0.0001649006,0.0001491522,0.002430573,0.0004275481,0.001148969,0.000319537,0.0003479031,0.00281376],"category_scores_gemma":[0.01441026,0.0001152405,0.0002414148,0.003470598,0.0002648417,0.00155264,0.0004492201,0.0004331977,0.0003779031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005207098,"about_ca_system_score_gemma":0.0006566325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002638778,"about_ca_topic_score_gemma":0.002853595,"domain_scores_codex":[0.999262,0.000250006,0.00008733797,0.0001213052,0.0001810379,0.00009828225],"domain_scores_gemma":[0.9761244,0.01450993,0.005341914,0.0008507422,0.002518113,0.0006549464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001972775,0.0001801899,0.9486364,0.0001031623,0.00001973849,0.0001549241,0.001933588,0.0006185139,0.0007799724,0.003965245,0.0006260262,0.04278498],"study_design_scores_gemma":[0.00001322252,0.0001985795,0.9742268,0.0001018689,0.00003407548,0.0002081323,0.007651421,0.005017781,0.001419341,0.002142859,0.008968177,0.00001760318],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928328,0.000262338,0.00144255,0.00007035807,0.000004379108,0.0000441346,0.0005240776,0.000009940258,0.004809519],"genre_scores_gemma":[0.9967645,0.0001925459,0.001106201,0.00001737639,0.00000737759,0.00003297561,0.00111857,0.000004798277,0.0007555888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00281376,"threshold_uncertainty_score":0.009496093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1542520140767532,"score_gpt":0.3256193968368644,"score_spread":0.1713673827601112,"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."}}