{"id":"W3125614544","doi":"10.2139/ssrn.3252869","title":"Information: Hard and Soft","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":191,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Intermediary; Incentive; Process (computing); Computer science; Component (thermodynamics); Financial market; Business; Financial intermediary; Information structure; Data science; Knowledge management; Marketing; Finance; Microeconomics; Economics","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":[0.003120553,0.0005913213,0.0008725205,0.00480818,0.001555493,0.01654054,0.000854469,0.003706207,0.08889901],"category_scores_gemma":[0.03739231,0.0004740312,0.0004239848,0.005278912,0.004571062,0.01963389,0.004056853,0.002706376,0.02258189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475323,"about_ca_system_score_gemma":0.001476389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007367869,"about_ca_topic_score_gemma":0.0007698833,"domain_scores_codex":[0.9958145,0.001299651,0.0003213112,0.0004788776,0.001806518,0.0002791249],"domain_scores_gemma":[0.9783251,0.01169293,0.001650149,0.00365452,0.003056158,0.001621195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001817729,0.00005399446,0.002535159,0.0006751938,0.00005071188,0.0002342719,0.0007301762,0.0009372581,0.0005249992,0.5746991,0.1773934,0.241984],"study_design_scores_gemma":[0.00002610324,0.00005608284,0.002386641,0.0006976717,0.00004789582,0.000483518,0.00114363,0.002587433,0.0006473994,0.7436193,0.2482476,0.00005678864],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03156821,0.03354859,0.03846692,0.1038654,0.008886623,0.000155166,0.004142789,0.0005845905,0.7787817],"genre_scores_gemma":[0.6789176,0.02574206,0.009350833,0.01090716,0.01506914,0.0002269473,0.002183296,0.0004797314,0.2571232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08889901,"threshold_uncertainty_score":0.2973968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01123238797064553,"score_gpt":0.1894446246985302,"score_spread":0.1782122367278847,"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."}}