{"id":"W3021626566","doi":"10.3386/w21134","title":"Slack Time and Innovation","year":2015,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Creativity; Ideation; Extant taxon; Promotion (chess); Task (project management); Interpretation (philosophy); Computer science; Mechanism (biology); Knowledge management; Business; Marketing; Management; Psychology; Economics; Political science; Cognitive science; Social psychology; Epistemology","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":[0.004266542,0.000423811,0.0004291591,0.002101344,0.001295598,0.005077827,0.000622283,0.001752906,0.01989035],"category_scores_gemma":[0.02800586,0.0002515175,0.0006457939,0.002225976,0.00455304,0.004086783,0.00351959,0.001763139,0.001058968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002405758,"about_ca_system_score_gemma":0.002190472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001155074,"about_ca_topic_score_gemma":0.0009870365,"domain_scores_codex":[0.9962844,0.001471455,0.0002592691,0.0006372556,0.0006154068,0.0007321286],"domain_scores_gemma":[0.9491641,0.03096761,0.01044138,0.002779374,0.002079587,0.00456791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001553768,0.001090845,0.1722418,0.001497334,0.000364478,0.001434907,0.008841878,0.01013321,0.003058427,0.5733443,0.007254614,0.2191844],"study_design_scores_gemma":[0.0003362884,0.000961445,0.1707987,0.0009143542,0.0002128762,0.000689962,0.007648233,0.005141553,0.002202256,0.7085688,0.102387,0.0001387215],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7123414,0.01325382,0.02716413,0.01474512,0.000592105,0.0001406399,0.0007881384,0.0002292776,0.2307454],"genre_scores_gemma":[0.9921623,0.001767804,0.001207098,0.0004387086,0.0001743002,0.00005246067,0.0001109504,0.00002791514,0.004058446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01989035,"threshold_uncertainty_score":0.06653982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3289615253635249,"score_gpt":0.4554548279843307,"score_spread":0.1264933026208058,"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."}}