{"id":"W142337309","doi":"","title":"Adding Value to Information Systems Using Free Data","year":2007,"lang":"en","type":"article","venue":"˜The œopen source business resource","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Computer science; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007973472,0.0006677566,0.0007027944,0.005368834,0.001733208,0.01379538,0.002265208,0.002718446,0.01884948],"category_scores_gemma":[0.04579221,0.0007159652,0.001002962,0.006405829,0.005262722,0.04430208,0.01188733,0.003587107,0.005271883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00225153,"about_ca_system_score_gemma":0.002699201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001395334,"about_ca_topic_score_gemma":0.001470643,"domain_scores_codex":[0.9931948,0.001967741,0.0003451916,0.0004155336,0.003430033,0.0006466117],"domain_scores_gemma":[0.9573735,0.01730606,0.0009316196,0.01774111,0.004521783,0.002126008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002229353,0.0001841339,0.003605809,0.0006066421,0.0001637808,0.0003655306,0.001706703,0.002013829,0.003384002,0.6025505,0.09520084,0.2899954],"study_design_scores_gemma":[0.00005006703,0.00005716907,0.001670376,0.000304179,0.00008509844,0.0002548389,0.0006523869,0.005023047,0.003546464,0.6520066,0.3362718,0.00007786695],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08952758,0.01046652,0.266549,0.143567,0.008027688,0.0004637793,0.002712531,0.005979963,0.4727059],"genre_scores_gemma":[0.793704,0.008869424,0.09552908,0.009629959,0.008039525,0.0002467338,0.003900788,0.002581155,0.07749934],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01884948,"threshold_uncertainty_score":0.06305784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1029736724803946,"score_gpt":0.3123360375839506,"score_spread":0.209362365103556,"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."}}