{"id":"W4237686570","doi":"10.1002/bul2.2016.1720430102","title":"President's Page","year":2016,"lang":"en","type":"article","venue":"Bulletin of the Association for Information Science and Technology","topic":"Artificial Intelligence Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Chief executive officer; Successor cardinal; Executive director; Association (psychology); Outreach; Management; Task force; Public relations; Officer; Executive summary; Political science; Task (project management); Business; Public administration; Psychology; Finance; Law; Economics","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":[0.001076513,0.00004237203,0.00006027664,0.0002144678,0.0002848204,0.00006372589,0.001005218,0.00006211013,0.000004952327],"category_scores_gemma":[0.002621996,0.000025338,0.00002078792,0.0008651056,0.0002502821,0.0006149985,0.0002938499,0.0000314765,0.00007273294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00010428,"about_ca_system_score_gemma":0.00009472447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008489131,"about_ca_topic_score_gemma":0.000001879569,"domain_scores_codex":[0.9991576,0.000008138906,0.0002388917,0.0001023089,0.0003387805,0.0001542433],"domain_scores_gemma":[0.9982644,0.0001592706,0.0003635124,0.0003313384,0.0008618093,0.00001963971],"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":[8.355876e-7,0.000006053816,0.002075828,0.000002468848,0.000002620993,3.616535e-9,0.0001290588,0.000001169071,0.004541649,0.9360586,0.007475945,0.04970581],"study_design_scores_gemma":[0.0001627811,0.00003754772,0.004565982,0.00001441647,0.000004221215,0.000001868456,0.0001089303,0.000477044,0.1875495,0.07049794,0.7364913,0.00008843589],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04534553,0.00003969246,0.4625275,0.4681221,0.0006713987,0.00165303,0.00003202509,0.0004601529,0.02114858],"genre_scores_gemma":[0.9952779,0.00001475238,0.003732634,0.0003262469,0.000006548865,0.00006433741,1.690923e-7,0.000001177998,0.000576206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9499324,"threshold_uncertainty_score":0.3138963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00997696679648606,"score_gpt":0.2425586059277141,"score_spread":0.232581639131228,"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."}}