{"id":"W2134282875","doi":"10.1145/1390156.1390163","title":"Multiple instance ranking","year":2008,"lang":"en","type":"article","venue":"","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Rensselaer Polytechnic Institute","keywords":"Computer science; Ranking (information retrieval); Artificial intelligence; Information retrieval","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.004287778,0.00166921,0.003320242,0.00268213,0.0008621049,0.0036861,0.004242917,0.001584413,0.0080961],"category_scores_gemma":[0.01535275,0.0004607346,0.001945829,0.00304685,0.000694842,0.005738446,0.002146099,0.003261223,0.002897295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001378353,"about_ca_system_score_gemma":0.001811543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001526872,"about_ca_topic_score_gemma":0.00227045,"domain_scores_codex":[0.9929081,0.002680336,0.0004197032,0.001250218,0.002344054,0.0003975613],"domain_scores_gemma":[0.9931388,0.003433155,0.0005315928,0.001440154,0.001122207,0.0003340715],"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":[0.0003993734,0.0005919457,0.003333681,0.0005594022,0.0003464835,0.0002593193,0.00011812,0.1720689,0.00322859,0.08279967,0.04050577,0.6957888],"study_design_scores_gemma":[0.00004371964,0.0001670505,0.0004273194,0.00003613752,0.00006413141,0.0002245194,0.00005176061,0.9113193,0.00360935,0.0683872,0.01563195,0.00003758345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008490477,0.001049167,0.9822313,0.0007625867,0.0002574991,0.0002033851,0.0007250185,0.0019544,0.004326157],"genre_scores_gemma":[0.2275643,0.0008558348,0.7587439,0.0005173238,0.0005155694,0.0003694566,0.004167344,0.0004752493,0.006791027],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0080961,"threshold_uncertainty_score":0.02708417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0312882596491182,"score_gpt":0.2318379867827939,"score_spread":0.2005497271336756,"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."}}