{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01169654,0.005433409,0.005671736,0.006951658,0.003139839,0.004039384,0.005494923,0.00429248,0.07951866],"category_scores_gemma":[0.01733146,0.001271359,0.001997624,0.003642356,0.001309434,0.004096706,0.005868278,0.004896162,0.06510126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002409018,"about_ca_system_score_gemma":0.002198223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009873093,"about_ca_topic_score_gemma":0.009922247,"domain_scores_codex":[0.992968,0.001932668,0.0002546411,0.001967723,0.002050337,0.0008265839],"domain_scores_gemma":[0.9885443,0.002316904,0.0003344052,0.002895986,0.003533426,0.002374902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006454732,0.0003660871,0.0002361539,0.0004646527,0.0001442445,0.0003222222,0.00006604579,0.0007024127,0.008200955,0.001022791,0.9329624,0.05486666],"study_design_scores_gemma":[0.003749205,0.001277533,0.0109744,0.0003180782,0.0003749252,0.003936965,0.0002743737,0.03581508,0.04073424,0.01502633,0.8870618,0.0004569903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.08203763,0.02505538,0.1827656,0.01909475,0.02804158,0.007241244,0.268714,0.2698193,0.1172305],"genre_scores_gemma":[0.05785725,0.001848828,0.1299113,0.004139765,0.003171845,0.003926062,0.6984416,0.02544151,0.07526179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07951866,"threshold_uncertainty_score":0.2660164,"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."}}