{"id":"W1985818460","doi":"10.1145/1378889.1378949","title":"slab","year":2008,"lang":"en","type":"article","venue":"","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Annotation; Cluster analysis; Computer science; Interface (matter); Face (sociological concept); Slab; Task (project management); Set (abstract data type); Computer graphics (images); User interface; Facial recognition system; Computer vision; Adobe photoshop; Artificial intelligence; Feature extraction; Software; Engineering; Operating system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006447302,0.0009785541,0.0008472904,0.001388156,0.0008450522,0.001489242,0.002263364,0.0006727303,0.0274905],"category_scores_gemma":[0.001750682,0.0006178365,0.0005370739,0.001297078,0.0005085134,0.00200418,0.00198175,0.0009125107,0.013686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005505439,"about_ca_system_score_gemma":0.001206404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004724821,"about_ca_topic_score_gemma":0.00767318,"domain_scores_codex":[0.9990363,0.0001181142,0.00004593898,0.0002009359,0.0005137761,0.00008490539],"domain_scores_gemma":[0.9987679,0.0002019503,0.00006681803,0.0004942696,0.0004019418,0.0000671173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007320666,0.00008082735,0.0006536419,0.0002980995,0.00004433352,0.0001178791,0.0003452498,0.00264537,0.08033518,0.007557328,0.04128348,0.8659065],"study_design_scores_gemma":[0.0002097543,0.0007396159,0.006864005,0.0001842542,0.000138098,0.002557183,0.0008380551,0.2147153,0.2798613,0.01690891,0.4767067,0.0002769483],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01349265,0.0004986694,0.9151731,0.0002059907,0.0001929527,0.0002393123,0.0009899362,0.05690254,0.01230494],"genre_scores_gemma":[0.08805083,0.0004736088,0.8784929,0.0002068108,0.00006586091,0.0002330158,0.003126942,0.002436991,0.02691307],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9725095,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02487743813438945,"score_gpt":0.2107637020514209,"score_spread":0.1858862639170315,"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."}}