{"id":"W7019223296","doi":"","title":"An exploratory study on information work activities of competitive intelligence professionals","year":2008,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Process (computing); Government (linguistics); Quality (philosophy); Information system; Circumstantial evidence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006123016,0.0004565987,0.0005912053,0.002919126,0.006761868,0.004409012,0.001116899,0.001442685,0.002088634],"category_scores_gemma":[0.01506196,0.0006562884,0.0002128967,0.002529757,0.003050073,0.003162255,0.002513097,0.001590527,0.0004786813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003798553,"about_ca_system_score_gemma":0.005981402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02603888,"about_ca_topic_score_gemma":0.04428792,"domain_scores_codex":[0.9945397,0.002384874,0.000232037,0.0004518313,0.0008696317,0.001522017],"domain_scores_gemma":[0.9841952,0.008755557,0.001715612,0.0003880587,0.002239261,0.002706186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006719432,0.0003312768,0.0340629,0.00006099627,0.000003119034,0.0004873561,0.9575677,0.00001089132,0.00050493,0.0003453935,0.0004493498,0.006108849],"study_design_scores_gemma":[0.000009181656,0.0002710893,0.02204718,0.00004065251,0.000002973771,0.0001532813,0.9730173,0.00006763305,0.0001461134,0.0000769703,0.004156099,0.00001157133],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973455,0.00006794977,0.0001161263,0.0002217283,0.000005403462,0.00006388759,0.00003206076,0.000002539868,0.002144918],"genre_scores_gemma":[0.9971307,0.0002479254,0.0003625531,0.0003473215,0.00001368663,0.000136772,0.00007165266,0.000005261526,0.001684107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02603888,"threshold_uncertainty_score":0.05177462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05971567144478911,"score_gpt":0.342084241713463,"score_spread":0.2823685702686739,"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."}}