{"id":"W4256547387","doi":"10.22215/timreview1082","title":"Using Artificial Intelligence and Web Media Data to Evaluate the Growth Potential of Companies in Emerging Industry Sectors","year":2017,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Gnowit (Canada)","funders":"","keywords":"Business; Industrial organization; Emerging markets; Commerce; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001671521,0.0001821785,0.0003161117,0.0009398509,0.0002871478,0.000171271,0.001819727,0.0001215237,0.000115342],"category_scores_gemma":[0.0008034614,0.0001422519,0.00001622183,0.002612512,0.0003007552,0.0009973673,0.00258341,0.0003155821,0.00002829149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001730489,"about_ca_system_score_gemma":0.00001573086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000149114,"about_ca_topic_score_gemma":0.0001187,"domain_scores_codex":[0.9983495,0.00001392907,0.0007143597,0.0004120171,0.0002833465,0.000226846],"domain_scores_gemma":[0.9978882,0.00001585361,0.0005061397,0.00127414,0.0003107949,0.00000486764],"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":[0.00001305982,0.00005844617,0.01185401,0.002509502,0.00005028542,0.00001142465,0.000009236609,0.00006284804,0.0005311295,0.7820379,0.0009626289,0.2018995],"study_design_scores_gemma":[0.00118895,0.00007483415,0.1449824,0.04031649,0.002705298,0.00006038041,0.005118328,0.1423074,0.002894755,0.4763518,0.1802004,0.003799],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9005224,0.006460526,0.02841587,0.05690683,0.001485073,0.002960371,0.00003543394,0.0002697597,0.00294372],"genre_scores_gemma":[0.9949037,0.002437313,0.001309987,0.00110815,0.0001420983,0.00002452231,0.00005262237,0.00001398561,0.000007587073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3056861,"threshold_uncertainty_score":0.5800865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3037041681953228,"score_gpt":0.4008960643147509,"score_spread":0.09719189611942813,"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."}}