{"id":"W7070510757","doi":"","title":"Objectif Numérique S01E57 - Lumière naturelle - Canon T5 vs T5i","year":2014,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Public Health and Social Inequalities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pascal (unit)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001693036,0.0006422498,0.00103958,0.0001273724,0.0007295603,0.0002013952,0.00083571,0.001921117,0.6258125],"category_scores_gemma":[0.001267713,0.0006827493,0.000419253,0.00004309584,0.0008877416,0.000001251212,0.00013501,0.00103574,0.03077852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004605868,"about_ca_system_score_gemma":0.0007076732,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1296973,"about_ca_topic_score_gemma":0.08843615,"domain_scores_codex":[0.9948925,0.0009789459,0.001472747,0.000408429,0.001114633,0.001132721],"domain_scores_gemma":[0.9963725,0.0007117886,0.001300246,0.0004859112,0.000478765,0.0006507669],"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":[0.00008075553,0.00007669746,0.00001670422,0.001014946,0.00008161154,0.00001085501,0.01082726,0.00008126479,1.009828e-7,0.009764387,0.9729404,0.005105014],"study_design_scores_gemma":[0.0005212277,0.0002467065,0.0000312305,0.0003729237,0.0000386749,0.00001751378,0.004487397,0.00003027327,0.000003042512,0.0002696046,0.9933051,0.0006763381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000510795,0.001375401,0.000001487259,0.005558579,0.002888228,0.0008668023,0.0002022987,0.0002015524,0.9883949],"genre_scores_gemma":[0.01639655,0.001318547,0.0002763419,0.003043731,0.002047423,0.0000452309,0.0001983618,0.0001109881,0.9765628],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.595034,"threshold_uncertainty_score":0.9995624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007682243054392276,"score_gpt":0.2219053178296809,"score_spread":0.2142230747752886,"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."}}