{"id":"W2761155281","doi":"","title":"Ensemble, Images unies / Ensemble, United Images","year":2017,"lang":"fr","type":"article","venue":"Ciel variable : art, photo, médias, culture","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Ensemble learning; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.004855341,0.0006011403,0.0003270058,0.005599555,0.001491526,0.004884778,0.0007784439,0.0005868269,0.03080032],"category_scores_gemma":[0.03093705,0.0003421639,0.0003907242,0.005610396,0.00112706,0.008151894,0.003847576,0.0009817068,0.005689945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008956856,"about_ca_system_score_gemma":0.0007977266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004999262,"about_ca_topic_score_gemma":0.009488791,"domain_scores_codex":[0.9973301,0.0007054657,0.0002174228,0.0006556571,0.0009406151,0.0001506605],"domain_scores_gemma":[0.9929402,0.002984409,0.0009078427,0.001443584,0.001341397,0.0003825999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007431378,0.0003019771,0.02859012,0.001213143,0.0001559808,0.0001282369,0.005734586,0.001394665,0.006265907,0.09066053,0.08046018,0.7843515],"study_design_scores_gemma":[0.0001460806,0.0004077123,0.1459762,0.001150415,0.0004245096,0.001381511,0.0232619,0.02524085,0.02491448,0.1191877,0.6576594,0.0002493199],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3301848,0.005290839,0.1986472,0.002081292,0.001121919,0.002370332,0.04412212,0.008329816,0.4078517],"genre_scores_gemma":[0.6737406,0.00205001,0.2577685,0.0004287252,0.0003273339,0.00316899,0.01792838,0.00261889,0.04196845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03080032,"threshold_uncertainty_score":0.1030373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2467714970844962,"score_gpt":0.4844076609423996,"score_spread":0.2376361638579033,"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."}}