{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.005607946,0.001038163,0.001231629,0.0003581211,0.005397959,0.002485415,0.00314863,0.00129127,0.06187875],"category_scores_gemma":[0.01188134,0.001019058,0.00047301,0.001561581,0.004719675,0.002935388,0.00104243,0.001975464,0.002194097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005625117,"about_ca_system_score_gemma":0.001557252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004859914,"about_ca_topic_score_gemma":0.00008612456,"domain_scores_codex":[0.9885697,0.003936251,0.0009637129,0.001539929,0.001879899,0.003110529],"domain_scores_gemma":[0.9922352,0.001258329,0.0009151819,0.002500977,0.001418743,0.00167151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001327124,0.0006915019,0.001959545,0.0003829376,0.0003989314,0.0003135193,0.002733622,0.00007774702,0.06558647,0.08767942,0.8306699,0.009373662],"study_design_scores_gemma":[0.001139536,0.0002646715,0.002345151,0.0005079627,0.0002539983,0.00002397517,0.003060309,0.0006284388,0.04175397,0.007587786,0.9412544,0.001179763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01746205,0.009753172,0.002958653,0.001320714,0.003973514,0.001379444,0.0006409504,0.0003536052,0.9621579],"genre_scores_gemma":[0.0377306,0.007499174,0.02243152,0.009463582,0.002829698,0.000382885,0.0001176224,0.000218236,0.9193267],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1105845,"threshold_uncertainty_score":0.999226,"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."}}