{"id":"W6931327067","doi":"10.5281/zenodo.4689196","title":"Amigdoscalpellum rigidum","year":2001,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Gait Recognition and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seamount; Pantropical; Lolium rigidum; Situated; Cape","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001835592,0.0001017727,0.0001009075,0.0001902534,0.0006655685,0.0003711198,0.0003874663,0.00004439451,0.02926341],"category_scores_gemma":[0.00007902524,0.0001106989,0.00005737765,0.0005321744,0.00005196706,0.0001538588,0.0001606128,0.0001647528,0.02519772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006500861,"about_ca_system_score_gemma":5.202056e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004183013,"about_ca_topic_score_gemma":3.166815e-7,"domain_scores_codex":[0.9991446,0.00006629158,0.0001568675,0.0001817948,0.0001868801,0.000263625],"domain_scores_gemma":[0.9994364,0.000007479644,0.00002108353,0.0002289552,0.0001654125,0.000140689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002052089,0.0001413049,0.00002199155,0.00007226643,0.0001451902,0.0000509731,0.0006059518,0.001793015,0.01352062,0.001811743,0.4864074,0.4954091],"study_design_scores_gemma":[0.0002194973,0.00002959655,0.0004314802,0.0000101339,0.0000126515,0.00006972995,0.000117676,0.006426757,0.0004163794,0.0001367265,0.9919934,0.0001359301],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08869023,0.0001156421,0.02171524,0.0004240493,0.0001649502,0.0002042314,0.00008511124,0.003748401,0.8848522],"genre_scores_gemma":[0.9956037,0.0002381246,0.0001599643,0.00009780224,0.0001393097,1.579609e-8,0.0007216877,0.0009845603,0.002054825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9069135,"threshold_uncertainty_score":0.9755613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02395819370665528,"score_gpt":0.2109283470289941,"score_spread":0.1869701533223389,"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."}}