{"id":"W7032915009","doi":"","title":"Objectif Numérique S01 E47 - Un Selfie de type Urbex","year":2014,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Skin Protection and Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selfie; Subject (documents); Arrow; Perspective (graphical)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002098667,0.0009950285,0.0006900791,0.002102044,0.001792088,0.005167469,0.001253119,0.00236628,0.6452457],"category_scores_gemma":[0.007683116,0.0004423171,0.0005194039,0.001396992,0.0006878708,0.003265645,0.003089491,0.001103042,0.3278566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002526016,"about_ca_system_score_gemma":0.001731714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01499581,"about_ca_topic_score_gemma":0.01590371,"domain_scores_codex":[0.9984071,0.0002081406,0.00008894711,0.0001853119,0.0009522682,0.0001582912],"domain_scores_gemma":[0.9952068,0.0009313958,0.0002037036,0.0009347901,0.002318617,0.0004047041],"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":[0.0001946423,0.0000607934,0.0006728508,0.0003182253,0.000004520249,0.0001198746,0.0002914217,0.00007368676,0.001456342,0.01291927,0.8981703,0.08571807],"study_design_scores_gemma":[0.00001243386,0.0000133329,0.0007415855,0.00007343937,0.000001391489,0.00006337986,0.00007740678,0.00007000848,0.0005652642,0.0006061035,0.9977674,0.000008149284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001648136,0.0003199977,0.008138492,0.00168455,0.001972187,0.0005729471,0.01509278,0.00997487,0.960596],"genre_scores_gemma":[0.009506585,0.0003230046,0.008273261,0.0007048136,0.0006137061,0.0004238659,0.01313065,0.004888743,0.9621354],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3547543,"threshold_uncertainty_score":0.5060139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004912648343094224,"score_gpt":0.1918941586048546,"score_spread":0.1869815102617604,"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."}}