{"id":"W3093931949","doi":"","title":"Big Potential Advanced: Year 4 Report","year":2019,"lang":"en","type":"article","venue":"NECTAR - Northampton Electronic Collection of Thesis and Research (University of Northampton)","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Investment (military); Big business; Launched; Business; Big data; Finance; Public relations; Economic growth; Political science; Economics; Engineering; Computer science; Law","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":[0.03767628,0.001529904,0.001346307,0.006447085,0.002085199,0.01603325,0.003381804,0.004444777,0.09380792],"category_scores_gemma":[0.04429504,0.001086787,0.00220599,0.00453952,0.001045382,0.006470073,0.008410683,0.004200451,0.04562005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008508869,"about_ca_system_score_gemma":0.04460948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03085753,"about_ca_topic_score_gemma":0.02781043,"domain_scores_codex":[0.9684359,0.004224811,0.00138402,0.0008470324,0.0205279,0.004580445],"domain_scores_gemma":[0.9285468,0.007235033,0.003965764,0.003958554,0.0383287,0.01796521],"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":[0.000257336,0.0000878494,0.001227886,0.0007076827,0.00003465998,0.0000425425,0.00007907317,0.0002508815,0.000133654,0.003460086,0.9609088,0.03280958],"study_design_scores_gemma":[0.0001474095,0.0002532483,0.0118021,0.001123744,0.0000406633,0.00004703568,0.0002865484,0.0001318099,0.0003982938,0.002028197,0.9836662,0.00007477537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01461099,0.02015355,0.009142603,0.07954147,0.05281769,0.01157109,0.3238359,0.006339923,0.4819868],"genre_scores_gemma":[0.07778364,0.02110795,0.01644958,0.04740526,0.01001481,0.02838465,0.2222346,0.005233872,0.5713857],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09380792,"threshold_uncertainty_score":0.3138188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01999139966464227,"score_gpt":0.2869192093807382,"score_spread":0.2669278097160959,"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."}}