{"id":"W7023522031","doi":"","title":"Objectif Numérique S01E54 - HDR, Triggertrap et scanner Epson V550","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":"Scanner; Test (biology); Mobile apps; Photography","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":[0.0009065722,0.001464792,0.0008943983,0.001900416,0.001298709,0.00347586,0.001387982,0.001576253,0.7216255],"category_scores_gemma":[0.003112711,0.0006489215,0.0005270098,0.001576703,0.0004283985,0.003129559,0.002467917,0.0009056929,0.5442156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001893522,"about_ca_system_score_gemma":0.001106555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02358709,"about_ca_topic_score_gemma":0.03175564,"domain_scores_codex":[0.9992357,0.0000513511,0.00002746611,0.0001028525,0.000464722,0.0001179049],"domain_scores_gemma":[0.9980248,0.0002003948,0.00005543074,0.0005497533,0.0009145737,0.0002550067],"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":[0.000164632,0.00002664551,0.0004032981,0.0001800748,0.000005139401,0.0001038283,0.0001254663,0.00007806638,0.001711079,0.001879907,0.9336502,0.06167164],"study_design_scores_gemma":[0.00003365922,0.00001818094,0.001753807,0.00006389457,0.000003946751,0.0001347235,0.00009040498,0.0002185406,0.001819664,0.0004444474,0.9953963,0.00002234614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001785673,0.0002643259,0.00880105,0.0006231268,0.0004556035,0.0006332301,0.04518997,0.05437836,0.8878686],"genre_scores_gemma":[0.01337087,0.0003183829,0.01121276,0.0004268132,0.0002803354,0.0004909185,0.04992425,0.03156819,0.8924074],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2783745,"threshold_uncertainty_score":0.3970674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006012342532295901,"score_gpt":0.1963140011335468,"score_spread":0.1903016586012509,"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."}}