{"id":"W2243109525","doi":"10.2139/ssrn.2024365","title":"Labor Intensity, Risk and Return","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Intensity (physics); Economics; Business; Physics; Optics","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":[0.001510566,0.0002807929,0.000342199,0.0009208952,0.0003413211,0.002233349,0.0004028082,0.00127746,0.01185146],"category_scores_gemma":[0.009965883,0.0002329488,0.0005088103,0.0007350749,0.001004426,0.00100709,0.0009179517,0.00120324,0.001517519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005369249,"about_ca_system_score_gemma":0.0006211539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002524332,"about_ca_topic_score_gemma":0.002448253,"domain_scores_codex":[0.9993647,0.0002215242,0.00005227566,0.00008220642,0.0001246813,0.000154613],"domain_scores_gemma":[0.9861171,0.008110409,0.003004182,0.0004873083,0.000303841,0.001977087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009235466,0.0008325331,0.9529819,0.00004544347,0.0002223325,0.0005375575,0.0009906281,0.004703388,0.001245529,0.01467373,0.0009716641,0.02187184],"study_design_scores_gemma":[0.00003944283,0.000369815,0.9616339,0.00004698908,0.00008755641,0.0003490689,0.001239763,0.006559426,0.0002787995,0.02776445,0.001592931,0.00003788982],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876412,0.00125082,0.001449198,0.0007414665,0.00002351349,0.00002022271,0.0002120532,0.00001663372,0.008644857],"genre_scores_gemma":[0.9954208,0.0002868202,0.0001336716,0.00003565219,0.00005149911,0.000008262244,0.00009029803,0.000004884958,0.003968227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01185146,"threshold_uncertainty_score":0.0396471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005637617407236026,"score_gpt":0.1805586655993748,"score_spread":0.1749210481921388,"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."}}