{"id":"W2402665237","doi":"10.3233/978-1-61499-438-1-51","title":"Voids and material constitution across physical granularities","year":2014,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Constitution; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001440605,0.0001887182,0.0002602722,0.000110261,0.0003083572,0.0003366377,0.000223555,0.0001693513,0.000002991567],"category_scores_gemma":[0.000007633632,0.0001750672,0.0000380146,0.00006081835,0.0008653546,0.0001835018,0.0001027373,0.0002228598,0.00001467714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002721237,"about_ca_system_score_gemma":0.00005360922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001554028,"about_ca_topic_score_gemma":0.00001304795,"domain_scores_codex":[0.9989508,0.00001320277,0.0002811669,0.000455162,0.0001128094,0.000186869],"domain_scores_gemma":[0.999507,0.0000265501,0.0001135798,0.0002348064,0.00005901078,0.00005909469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002983016,0.000007003987,0.000008843761,0.00002528835,0.000004074881,5.569453e-7,0.0001687443,0.000004745121,0.000027721,0.4361966,0.00007824357,0.5634752],"study_design_scores_gemma":[0.00002442897,0.00002798755,0.000005341333,0.00009229105,0.00001556583,0.0000276681,0.00015278,0.01330358,0.003024398,0.9379976,0.0450227,0.0003055999],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002043771,0.0002805259,0.9877393,0.0002027349,0.0005925246,0.0002460972,0.00002953019,0.00007468203,0.01063018],"genre_scores_gemma":[0.7303548,0.003766939,0.2002173,0.0005853322,0.005346551,0.0007924566,0.000258952,0.0001150721,0.05856265],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7875221,"threshold_uncertainty_score":0.7139031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01964967481908031,"score_gpt":0.2629191700924906,"score_spread":0.2432694952734102,"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."}}