{"id":"W4406466429","doi":"10.1016/s1553-3212(05)71194-8","title":"10.1016/s1553-3212(05)71194-8","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"State (computer science); Law; Computer science; Political science; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001408351,0.0032956,0.002046688,0.003389532,0.003055089,0.004213064,0.004053495,0.006943227,0.9900004],"category_scores_gemma":[0.001731189,0.001117786,0.001873881,0.002801173,0.002230468,0.006225518,0.003766698,0.002983878,0.99365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00152585,"about_ca_system_score_gemma":0.001434565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004925781,"about_ca_topic_score_gemma":0.004419843,"domain_scores_codex":[0.9991207,0.00006234521,0.00007720295,0.0003356847,0.0002162491,0.0001878689],"domain_scores_gemma":[0.9973992,0.000663589,0.000171358,0.0002910764,0.0005820877,0.0008926322],"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":[0.0004585195,0.0002705184,0.001099694,0.0007328787,0.00004922009,0.0003403105,0.0001350558,0.0006191622,0.002616539,0.006410554,0.3586951,0.6285724],"study_design_scores_gemma":[0.00006254843,0.0001504237,0.0007532376,0.0003471115,0.00001794105,0.0004466251,0.0001258592,0.0002749437,0.00043086,0.0007455218,0.9966163,0.00002867956],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000460198,0.0003926448,0.000839373,0.0003372103,0.0002759915,0.0001225786,0.0007081984,0.0009908802,0.9958729],"genre_scores_gemma":[0.0005543089,0.0001749414,0.0004091627,0.0002151964,0.0000675984,0.0000681315,0.0003824088,0.0001521044,0.9979761],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009999573,"threshold_uncertainty_score":0.01426315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002734358614395385,"score_gpt":0.1508113953615556,"score_spread":0.1480770367471602,"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."}}