{"id":"W6955215979","doi":"10.58079/ni4k","title":"Identification d'images - test de TinEye sur PhotosNormandie","year":2008,"lang":"fr","type":"article","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Digital Media Forensic Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Pattern recognition (psychology); Test (biology); Relation (database)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005792698,0.0003304632,0.0003099302,0.001128369,0.0004928358,0.0005729276,0.0003291722,0.001224209,0.009248589],"category_scores_gemma":[0.002140058,0.0001370753,0.0002622313,0.0004609674,0.0003267493,0.000891794,0.0005796838,0.0003733409,0.002434687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000214839,"about_ca_system_score_gemma":0.0001992202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002323702,"about_ca_topic_score_gemma":0.003157515,"domain_scores_codex":[0.9995766,0.00003037972,0.00001982495,0.0001078124,0.0001990509,0.00006639161],"domain_scores_gemma":[0.999017,0.0002541286,0.00003849665,0.0001156546,0.0004769844,0.00009783066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002088626,0.0003423993,0.01323892,0.0003773585,0.00008367252,0.004439237,0.001117704,0.001463687,0.7310545,0.001633282,0.01077165,0.233389],"study_design_scores_gemma":[0.00009898594,0.002558474,0.1770736,0.0001594644,0.0001532062,0.01461789,0.002781637,0.05435923,0.7028614,0.001193725,0.0440076,0.0001348567],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9232649,0.0006129052,0.04418605,0.0007860757,0.001522718,0.0002704402,0.0009453059,0.001764972,0.02664672],"genre_scores_gemma":[0.92345,0.0003565513,0.03958356,0.0003626783,0.0001083186,0.00005911431,0.001276521,0.0002216661,0.03458162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009248589,"threshold_uncertainty_score":0.03093958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03549357073650337,"score_gpt":0.2320754134328287,"score_spread":0.1965818426963253,"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."}}