{"id":"W7099317691","doi":"","title":"Approved by","year":2006,"lang":"en","type":"article","venue":"","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Teamwork; Process (computing); Government (linguistics); Work (physics); Team development","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":[],"consensus_categories":[],"category_scores_codex":[0.00002874623,0.00002555172,0.000031432,0.00001982272,0.00002187893,0.00005485787,0.0001352586,0.00001019396,0.0001085811],"category_scores_gemma":[0.000001554047,0.00002016983,0.00002568733,0.0001391203,0.000005179738,0.00009692143,0.00002123585,0.0000145838,0.0002986896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003349393,"about_ca_system_score_gemma":0.000003584532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008156418,"about_ca_topic_score_gemma":0.00001192485,"domain_scores_codex":[0.9997365,0.000006226804,0.00004568844,0.00008957215,0.00005888876,0.00006308523],"domain_scores_gemma":[0.9998565,0.00000678037,0.000009075923,0.00009739543,0.00001347121,0.00001675061],"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":[2.997543e-7,0.0001195448,0.0003809663,0.000002435811,0.000009795963,0.000002138713,0.00001554671,0.0000234509,0.01817515,0.143492,0.7340982,0.1036805],"study_design_scores_gemma":[0.0004760671,0.00002425131,0.000598659,0.000003192207,0.000007425434,0.000004959489,0.00002457838,0.4000693,0.08855286,0.0229875,0.486898,0.0003532207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001172088,0.00002222836,0.8712884,0.001755487,0.00001968196,0.00001152729,3.776193e-7,0.0001156557,0.1256146],"genre_scores_gemma":[0.885648,0.000004061297,0.05530828,0.001442755,0.00002858152,0.000004110842,0.000008554685,0.000002625189,0.05755305],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8844759,"threshold_uncertainty_score":0.383915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002894358169614407,"score_gpt":0.1702103919751283,"score_spread":0.1673160338055139,"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."}}