{"id":"W1998289468","doi":"10.1145/2685328.2685333","title":"Student travel award recipients for the 2014 AAAI/SIGAI doctoral consortium","year":2014,"lang":"en","type":"article","venue":"AI Matters","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Waterloo","funders":"","keywords":"Medical education; Library science; Psychology; Computer science; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01176678,0.002069693,0.001585736,0.003820108,0.005791372,0.009691405,0.001621626,0.004727413,0.1994074],"category_scores_gemma":[0.01462376,0.0006597661,0.001477595,0.002706154,0.0008442348,0.003783487,0.007641454,0.004636709,0.1646868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00288992,"about_ca_system_score_gemma":0.01177507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007532345,"about_ca_topic_score_gemma":0.01686118,"domain_scores_codex":[0.9939387,0.0007082406,0.0003051295,0.0004078666,0.00350695,0.001133144],"domain_scores_gemma":[0.9685785,0.0006179915,0.0005758743,0.001107558,0.01443376,0.01468645],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004091822,0.00008107287,0.0003009219,0.00003074146,0.00000693667,0.00004274302,0.0000285412,0.00004615329,0.00009485414,0.0008549709,0.9776404,0.02083174],"study_design_scores_gemma":[0.00003154642,0.0000667124,0.001582342,0.00006295113,0.00001188465,0.00007192854,0.0003632184,0.0003982582,0.0001879313,0.0008934534,0.9963003,0.00002958513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01215665,0.009561799,0.007611264,0.2271575,0.2676373,0.001878427,0.01097161,0.003169021,0.4598564],"genre_scores_gemma":[0.01593201,0.006294206,0.004539383,0.009166696,0.01743808,0.0009432836,0.01085792,0.0007175117,0.934111],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9882332,"threshold_uncertainty_score":0.6670841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1037380987593738,"score_gpt":0.3984208753192769,"score_spread":0.2946827765599031,"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."}}