{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001574713,0.0001332899,0.0003266123,0.0005947006,0.0008558217,0.0000235004,0.0003522887,0.0001690931,0.0007345401],"category_scores_gemma":[0.0001229726,0.0001481404,0.0001775267,0.001305986,0.0005489557,0.0002504287,0.0001279339,0.0003656802,0.00002717169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002858453,"about_ca_system_score_gemma":0.001598801,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0105897,"about_ca_topic_score_gemma":0.01273337,"domain_scores_codex":[0.99739,0.00031484,0.0002203031,0.0003917161,0.001035639,0.0006474746],"domain_scores_gemma":[0.9986032,0.0002321384,0.0002170698,0.0002656493,0.0005175198,0.0001643735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004828806,0.001369878,0.6710485,0.0004656586,0.001531183,0.0001770073,0.04164585,0.0004198929,0.01465806,0.09371284,0.0189958,0.1511465],"study_design_scores_gemma":[0.002341756,0.001260912,0.2014325,0.0001252351,0.00006064545,0.00004381817,0.01406782,0.0001873874,0.0009517937,0.004070132,0.7748868,0.0005712169],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649084,0.0001660775,0.00004888775,0.001774734,0.0001604963,0.0004721853,0.000004846555,0.00003201945,0.03243233],"genre_scores_gemma":[0.9493235,0.002936576,0.0001607334,0.000008977653,0.00009831726,0.000001363206,0.00001300487,0.00001171827,0.04744576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.755891,"threshold_uncertainty_score":0.9959989,"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."}}