{"id":"W3150612589","doi":"10.21810/jicw.v3i3.2766","title":"The Challenges of Data Acquisition and the Use of Artificial Intelligence/Machine Learning","year":2021,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Presentation (obstetrics); Artificial intelligence; Computer science; Data acquisition; Data science; Machine learning; World Wide Web","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":[0.05050758,0.0007966252,0.0009847381,0.002603752,0.005861186,0.01750846,0.001812046,0.01102414,0.00380931],"category_scores_gemma":[0.06160483,0.00106626,0.0009818568,0.001781227,0.01539663,0.02459799,0.006980438,0.02249076,0.001496915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006930252,"about_ca_system_score_gemma":0.00836251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006197156,"about_ca_topic_score_gemma":0.00484196,"domain_scores_codex":[0.9568666,0.02598633,0.001499723,0.002266935,0.01117186,0.002208549],"domain_scores_gemma":[0.9064979,0.07406766,0.001640244,0.00272389,0.01130353,0.003766773],"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":[0.0001407831,0.00008336437,0.001011114,0.000420701,0.00005807446,0.00039494,0.003590027,0.001519731,0.001005966,0.4985445,0.350062,0.1431687],"study_design_scores_gemma":[0.00002150401,0.00005870037,0.0006666684,0.0005940684,0.00001101877,0.000351462,0.003409223,0.003333334,0.0009480647,0.2557298,0.7347708,0.0001053322],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002717738,0.03027041,0.01852649,0.9265926,0.007066756,0.00004543134,0.0001111063,0.00008387735,0.01458557],"genre_scores_gemma":[0.286577,0.1249428,0.103467,0.3716665,0.04018793,0.0005401674,0.0004594995,0.0005871814,0.07157186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05050758,"threshold_uncertainty_score":0.2671129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1419177706599846,"score_gpt":0.3001728847351497,"score_spread":0.1582551140751651,"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."}}