{"id":"W4415136631","doi":"10.1002/aiv2.70000","title":"Introducing AI & Innovation","year":2025,"lang":"en","type":"article","venue":"AI & Innovation","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Transformative learning; Context (archaeology); Agriculture; Face (sociological concept); Big data; Emerging technologies; Robotics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004420879,0.001035918,0.0005273093,0.001993279,0.002806742,0.01393783,0.002794882,0.008101808,0.07925099],"category_scores_gemma":[0.01090138,0.0004249028,0.0008197755,0.00236608,0.006457191,0.01201676,0.007227408,0.006419992,0.03833801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004522196,"about_ca_system_score_gemma":0.005962592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001629459,"about_ca_topic_score_gemma":0.00144057,"domain_scores_codex":[0.9944489,0.001538759,0.0002264573,0.0009017009,0.002344399,0.0005398197],"domain_scores_gemma":[0.9947238,0.001885313,0.0003136382,0.0008381091,0.001114901,0.001124252],"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":[0.00002687554,0.00003484278,0.0002368726,0.0002681018,0.00001272569,0.0001714122,0.0004774397,0.0005276338,0.000288741,0.7677474,0.1103832,0.1198247],"study_design_scores_gemma":[0.000009428845,0.00001573824,0.00007050167,0.0001787247,0.000004493194,0.000123421,0.000164062,0.0005980019,0.000179078,0.1709731,0.8276715,0.00001193083],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.001366723,0.0128881,0.07814452,0.07643377,0.007459509,0.0002012827,0.000323463,0.001741578,0.8214411],"genre_scores_gemma":[0.127869,0.04060347,0.1416973,0.03684991,0.01114036,0.0009256672,0.0008204789,0.001411176,0.6386827],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.07925099,"threshold_uncertainty_score":0.265121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05012945071502123,"score_gpt":0.3229951817226923,"score_spread":0.272865731007671,"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."}}