{"id":"W7023468526","doi":"","title":"ONumerique.S01E54R-HDR_Triggertrap_EpsonV550","year":2014,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Test (biology); Mobile apps; Photography; Mobile device","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":[0.0004358175,0.001308597,0.000776858,0.001665966,0.001462921,0.003985347,0.001509756,0.001766402,0.934534],"category_scores_gemma":[0.002146543,0.0006869383,0.000551386,0.0017481,0.0004265538,0.003255824,0.0029641,0.0009793222,0.8871657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486648,"about_ca_system_score_gemma":0.0008290941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02211417,"about_ca_topic_score_gemma":0.03535815,"domain_scores_codex":[0.999658,0.00002056946,0.00001095373,0.00004762876,0.0001966579,0.00006620088],"domain_scores_gemma":[0.9986238,0.0001589055,0.00003763614,0.0003731267,0.0005592027,0.0002473122],"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":[0.00006912951,0.00001854808,0.0001311664,0.0001013797,0.000002331001,0.00004200213,0.00005412606,0.00002924363,0.0004769457,0.0008802639,0.949953,0.04824188],"study_design_scores_gemma":[0.00001666068,0.00000964171,0.0006052445,0.00003837745,0.000002134604,0.00004945435,0.00004399605,0.00006632862,0.0004698634,0.0002464302,0.9984427,0.000009045403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000460729,0.0001589879,0.001834879,0.0002925563,0.0002936427,0.0001575595,0.0296903,0.02929983,0.9378114],"genre_scores_gemma":[0.002535984,0.0001421576,0.0009745519,0.0002197917,0.00007721907,0.00007415428,0.01566914,0.01344417,0.9668629],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06546599,"threshold_uncertainty_score":0.09337926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005503568351003904,"score_gpt":0.1842282176588211,"score_spread":0.1787246493078172,"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."}}