{"id":"W7003063221","doi":"","title":"LGS 20140104 IRIS","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":"Feature (linguistics); IRIS (biosensor); Noise (video); Optical coherence tomography","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":[0.0011957,0.0006502721,0.0005780606,0.002823106,0.002499893,0.005192995,0.001114852,0.001444539,0.7628],"category_scores_gemma":[0.003312168,0.0004181502,0.0003917752,0.00362624,0.0007255511,0.001434255,0.002691634,0.001436111,0.5836801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007436038,"about_ca_system_score_gemma":0.007841975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1710764,"about_ca_topic_score_gemma":0.2054377,"domain_scores_codex":[0.9989522,0.000122673,0.00005104912,0.0001271941,0.0005210129,0.0002259182],"domain_scores_gemma":[0.9974498,0.0001644549,0.0001013428,0.0002925635,0.001445315,0.0005465003],"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":[0.00003122567,0.00001748467,0.0002830365,0.00009215705,0.000001923807,0.00002366872,0.00005509365,0.00002068121,0.0001142298,0.002351064,0.9690241,0.0279853],"study_design_scores_gemma":[0.000003200505,0.000004484732,0.001228884,0.00005405805,7.910165e-7,0.00001304693,0.00006552332,0.000009983906,0.00006037558,0.0001111883,0.9984457,0.000002631213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008378978,0.0007617031,0.0003178961,0.003046269,0.00147336,0.0001639916,0.04474383,0.001460136,0.947195],"genre_scores_gemma":[0.002059097,0.0003864509,0.000280862,0.0006220028,0.0001228693,0.00007450148,0.0145543,0.0004720443,0.9814279],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2372,"threshold_uncertainty_score":0.3401613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005389907606897049,"score_gpt":0.1826892859753606,"score_spread":0.1772993783684635,"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."}}