{"id":"W4414639538","doi":"10.1007/978-3-662-72116-2_2","title":"Data Assetization Journey: Concepts, Principles, and Illustrations","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Asset (computer security); Obligation; Line (geometry); Transformation (genetics); Corporate governance; Data governance; Data verification; Word (group theory)","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":[0.00191617,0.0002577358,0.0003440358,0.0006860265,0.0004252222,0.0009966427,0.004861844,0.0003271938,0.00006868715],"category_scores_gemma":[0.00203025,0.0002020304,0.00003347422,0.0009651428,0.001395622,0.0005947545,0.003720586,0.0005973713,0.00002849818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008111773,"about_ca_system_score_gemma":0.0005959074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001170254,"about_ca_topic_score_gemma":0.000436461,"domain_scores_codex":[0.9963998,0.00002614992,0.0006684534,0.001560088,0.001060199,0.00028536],"domain_scores_gemma":[0.9949415,0.001236873,0.000357344,0.003034553,0.0003432062,0.00008656655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001206612,0.00001087197,0.0001476046,0.000005617512,0.000004540378,0.000003876938,0.00004534031,0.001864088,0.00002235176,0.1202759,0.00257352,0.8750451],"study_design_scores_gemma":[0.0001352878,0.00003632325,0.0006887108,0.0001623632,0.00001454956,0.00002280484,0.000002625406,0.2501431,0.00008703514,0.3837057,0.3646396,0.0003619969],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00002572724,0.0005473376,0.9859219,0.005719249,0.0004241639,0.0003417171,0.0007189355,0.00008449078,0.006216432],"genre_scores_gemma":[0.1446634,0.001628492,0.835893,0.003934253,0.0008864313,0.00003874324,0.001210259,0.00005542364,0.01168999],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8746831,"threshold_uncertainty_score":0.9610649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2645101489845723,"score_gpt":0.3985035926686041,"score_spread":0.1339934436840319,"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."}}