{"id":"W2896692527","doi":"10.1109/tem.2018.2869183","title":"Guest Editorial Resource, Routine, Reputation, or Regulation Shortages: Can Data- and Analytics-Driven Capabilities Inform Tech Entrepreneur Decisions","year":2018,"lang":"en","type":"editorial","venue":"IEEE Transactions on Engineering Management","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Commit; Ingenuity; Business; New Ventures; Reputation; Analytics; Economic shortage; Resource (disambiguation); Knowledge management; Entrepreneurship; Marketing; Computer science; Economics; Data science; Government (linguistics); Finance","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":[0.004504549,0.002335104,0.002115502,0.002620955,0.002919818,0.008220047,0.002417785,0.01011158,0.01409504],"category_scores_gemma":[0.02404354,0.0006642742,0.001263196,0.001137911,0.002345826,0.004285729,0.001390702,0.01544688,0.00825357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002055915,"about_ca_system_score_gemma":0.002084828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009816632,"about_ca_topic_score_gemma":0.002362854,"domain_scores_codex":[0.9970556,0.0003962011,0.0003296158,0.0005020991,0.00148019,0.0002363259],"domain_scores_gemma":[0.9796728,0.009358649,0.001033177,0.0004963454,0.00689462,0.00254442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002269583,0.00001195405,0.00004178349,0.00009700093,0.000005982301,0.0001259258,0.00001565287,0.00002116469,0.00003308383,0.0004333366,0.9944749,0.00471655],"study_design_scores_gemma":[0.00003727504,0.00002428466,0.0002848726,0.0004658235,0.00002477081,0.0002931954,0.00007815954,0.0001896515,0.0001157259,0.001671571,0.9967951,0.00001956713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00007133008,0.003665886,0.0001511101,0.04843522,0.9452029,0.00001766967,0.00005694572,0.00004680084,0.002352088],"genre_scores_gemma":[0.000725219,0.003090459,0.00007978197,0.01097121,0.9777479,0.00001559675,0.0000249129,0.00002836678,0.007316539],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01409504,"threshold_uncertainty_score":0.04715258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558777751961253,"score_gpt":0.2315469001952357,"score_spread":0.2159591226756232,"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."}}