{"id":"W7033239013","doi":"","title":"Powder characterization using X-ray tomography and image analysis","year":2016,"lang":"en","type":"article","venue":"NPARC","topic":"Orthoptera Research and Taxonomy","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Porosity; Metallography; Characterization (materials science); Gas pycnometer; Raw material; Tomography; Titanium; Resolution (logic)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008257954,0.0000519583,0.0000777733,0.00002762894,0.00008232776,0.00005485563,0.0000532465,0.00002496209,0.001461497],"category_scores_gemma":[0.00001164421,0.00001447073,0.00005867326,0.0003883423,0.00004607099,0.000170489,0.00003002589,0.00002151084,0.00001009527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004936662,"about_ca_system_score_gemma":0.000001982412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001532094,"about_ca_topic_score_gemma":0.00003197699,"domain_scores_codex":[0.9995087,0.00003337446,0.00006934392,0.0001468751,0.00009163302,0.0001500105],"domain_scores_gemma":[0.9997926,0.00003916911,0.00002687211,0.00002855221,0.00003399702,0.00007878873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000004918596,0.000009281477,0.115238,6.239747e-7,0.00002318951,0.000001062194,0.00000316411,1.168772e-8,0.7799805,0.00002918049,0.000006424236,0.1047037],"study_design_scores_gemma":[0.00007718943,0.00004884656,0.9845162,0.000005248415,0.00003036423,7.904852e-7,0.0000113618,0.00009231303,0.006521664,0.0001782591,0.008429801,0.00008793446],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997478,0.000006841829,0.0002723504,0.0009412009,0.000011892,0.00005941876,0.00003358052,0.00001836471,0.001178326],"genre_scores_gemma":[0.9992036,0.00002662216,0.0004743566,0.00005089688,0.00007355187,0.000003685405,0.00001839356,2.587921e-7,0.0001485956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8692783,"threshold_uncertainty_score":0.9994513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822202557510939,"score_gpt":0.2218477350241259,"score_spread":0.2036257094490165,"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."}}