{"id":"W2110163890","doi":"10.1371/journal.pcbi.1003894","title":"Some Work and Some Play: Microscopic and Macroscopic Approaches to Labor and Leisure","year":2014,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Concordia University; Gatsby Charitable Foundation","keywords":"Work (physics); Process (computing); Imperfect; Computation; Computer science; Markov process; Stochastic process; Statistical physics; Mathematical economics; Economics; Mathematics; Physics; Algorithm; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001314873,0.0005268912,0.0005311043,0.0007652686,0.001498596,0.0038059,0.001363723,0.001729793,0.00875097],"category_scores_gemma":[0.003308901,0.0005549492,0.0008568199,0.0006031386,0.01145159,0.008230623,0.002694638,0.002510718,0.0005244411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003052678,"about_ca_system_score_gemma":0.001193942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005384101,"about_ca_topic_score_gemma":0.004430296,"domain_scores_codex":[0.9992064,0.0003900825,0.00002152128,0.0001264617,0.0001390179,0.0001165246],"domain_scores_gemma":[0.9985679,0.0007365621,0.0001529562,0.0002691455,0.00008294349,0.000190367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008079169,0.000009260782,0.0002261249,0.00001499808,0.000005309942,0.00002378256,0.0001822369,0.003623146,0.00009592462,0.9938333,0.0003458379,0.001631892],"study_design_scores_gemma":[0.000005505362,0.000009257173,0.0003718757,0.00002002828,0.000005126274,0.00002728747,0.0001661371,0.0161683,0.00006301304,0.9800842,0.003071052,0.000008121559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1147952,0.00687133,0.5684687,0.04395806,0.0005514772,0.00008113147,0.0003613742,0.0001599756,0.2647527],"genre_scores_gemma":[0.953431,0.001622308,0.02941648,0.0009302062,0.0002915137,0.00009424614,0.00004267423,0.00007698456,0.01409464],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00875097,"threshold_uncertainty_score":0.02927494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1714692871049997,"score_gpt":0.3508137464098937,"score_spread":0.1793444593048939,"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."}}