{"id":"W2563439192","doi":"10.1609/aimag.v33i4.2444","title":"Reports of the AAAI 2012 Conference Workshops","year":2012,"lang":"en","type":"article","venue":"AI Magazine","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Personalization; Context (archaeology); Computer science; Artificial intelligence; Robotics; Representation (politics); World Wide Web; Human–computer interaction; Robot; Geography","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":[0.007262145,0.001817498,0.001151227,0.003524524,0.002932774,0.008559982,0.00230988,0.003134889,0.1431478],"category_scores_gemma":[0.009403729,0.0007673333,0.00114678,0.00313014,0.0005821643,0.006350038,0.003439436,0.00409888,0.09792324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002979438,"about_ca_system_score_gemma":0.004587003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008496596,"about_ca_topic_score_gemma":0.02221541,"domain_scores_codex":[0.9954852,0.0006846976,0.0003048454,0.0005539248,0.002477129,0.0004942243],"domain_scores_gemma":[0.988718,0.0009184006,0.000341673,0.0009405772,0.006560657,0.002520623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008364728,0.0001257391,0.0001989792,0.000116711,0.000008953506,0.00004601985,0.00006088517,0.000110374,0.0003011203,0.0009443234,0.9414788,0.0565245],"study_design_scores_gemma":[0.00002220058,0.00003343885,0.0009151484,0.0001181212,0.00001870699,0.00006244079,0.0002149193,0.0004264707,0.0004863028,0.001086146,0.9965887,0.00002737338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0106704,0.0500266,0.02269711,0.1432656,0.1826839,0.001097692,0.01641844,0.005781675,0.5673586],"genre_scores_gemma":[0.02464619,0.03346729,0.01782986,0.01013714,0.02007366,0.0008359629,0.03402511,0.001605614,0.8573791],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1431478,"threshold_uncertainty_score":0.478877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01842329417493685,"score_gpt":0.2437559709139383,"score_spread":0.2253326767390014,"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."}}