{"id":"W2157296506","doi":"","title":"CLaC at ImageCLEFPhoto 2008","year":2008,"lang":"en","type":"article","venue":"CLEF (Working Notes)","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Task (project management); Relevance (law); Computer science; Information retrieval; Block (permutation group theory); Relevance feedback; Artificial intelligence; Image retrieval; Mathematics; Image (mathematics); Political science; Engineering","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":[0.0002058345,0.000228354,0.000242512,0.0001030519,0.0004972963,0.00007315509,0.0009696632,0.0001179038,0.0000475552],"category_scores_gemma":[0.000187718,0.0002150431,0.0001352689,0.0006015195,0.0001525264,0.0005107888,0.0006540372,0.0002846879,0.0003063388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001400098,"about_ca_system_score_gemma":0.00004837986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001684141,"about_ca_topic_score_gemma":0.000003981382,"domain_scores_codex":[0.998228,0.00005390377,0.0002798272,0.0005777144,0.0003455703,0.0005150011],"domain_scores_gemma":[0.9984806,0.0002398525,0.0001265718,0.0009170277,0.00008495209,0.000151034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001425448,0.0004060972,0.05934547,0.00005800704,0.00008044828,0.002410101,0.002961464,0.00009249135,0.06813243,0.01124408,0.07857781,0.776549],"study_design_scores_gemma":[0.0007564483,0.0002193999,0.02858174,0.0001354348,0.00001230743,0.0007558146,0.000008002942,0.003980738,0.51865,0.009791122,0.4360052,0.001103821],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0334942,0.0009719809,0.9559782,0.0006221017,0.0004516358,0.0002450315,0.000001866159,0.001351857,0.006883091],"genre_scores_gemma":[0.8628979,0.0004383296,0.1338242,0.00144235,0.0002225834,0.0000143346,0.000003688463,0.0000286325,0.001127991],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8294037,"threshold_uncertainty_score":0.8769202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04564596631836694,"score_gpt":0.2746131458413928,"score_spread":0.2289671795230259,"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."}}