{"id":"W4318067874","doi":"10.1007/s10489-022-04414-2","title":"Center transfer for supervised domain adaptation","year":2023,"lang":"en","type":"article","venue":"Applied Intelligence","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Hong Kong Polytechnic University","keywords":"Computer science; Discriminative model; Domain adaptation; Domain (mathematical analysis); Transfer of learning; Artificial intelligence; Field (mathematics); Feature (linguistics); CTL*; Adaptation (eye); Labeled data; Pattern recognition (psychology); Machine learning; Data mining","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":[],"consensus_categories":[],"category_scores_codex":[0.001728326,0.00103713,0.001612892,0.001204646,0.0007846556,0.0008200441,0.002465396,0.001791054,0.00446297],"category_scores_gemma":[0.004791034,0.0004406993,0.001020229,0.001283996,0.001009422,0.002267981,0.002686145,0.002571129,0.002280855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009137235,"about_ca_system_score_gemma":0.001334022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005004459,"about_ca_topic_score_gemma":0.005604015,"domain_scores_codex":[0.9991486,0.0002436328,0.00003339713,0.0003162869,0.0001706105,0.00008750237],"domain_scores_gemma":[0.9980718,0.0008904266,0.00008467519,0.0005193418,0.0003477295,0.00008596353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004945117,0.0005279779,0.001060486,0.0002721395,0.0002972137,0.000155275,0.0001629733,0.1885705,0.02041352,0.03308228,0.02580403,0.7291592],"study_design_scores_gemma":[0.00001521425,0.00003894205,0.0002909107,0.00000901406,0.00002277661,0.00004864513,0.00001903896,0.9670202,0.005139614,0.02540776,0.001972357,0.00001570391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00962784,0.0008073031,0.9854026,0.0001987106,0.0001024907,0.00006975517,0.0001548314,0.002032781,0.001603629],"genre_scores_gemma":[0.5633526,0.00118315,0.4089463,0.0009831721,0.0003935125,0.0005241684,0.002798175,0.0008984983,0.02092037],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005004459,"threshold_uncertainty_score":0.01493007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0532276786534139,"score_gpt":0.2733810862251351,"score_spread":0.2201534075717212,"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."}}