{"id":"W7066442871","doi":"","title":"5. Humanities A Study On Married C. Gobalakrishnan","year":2014,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Surface Roughness and Optical Measurements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marital status; Legal action; Quarter (Canadian coin); Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005372444,0.0001127621,0.0001753957,0.001428062,0.003372804,0.001183387,0.0003380071,0.0004062821,0.01142313],"category_scores_gemma":[0.002386828,0.000116483,0.0001912098,0.001848444,0.0005366215,0.001114682,0.0009767988,0.0005867405,0.001393277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006342783,"about_ca_system_score_gemma":0.001069642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02567379,"about_ca_topic_score_gemma":0.0465336,"domain_scores_codex":[0.9993834,0.0002064584,0.0000390237,0.00003916523,0.0001780683,0.0001537567],"domain_scores_gemma":[0.9985154,0.0002982711,0.0003533925,0.00009046317,0.0003213412,0.0004210004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005535845,0.0009354533,0.7580227,0.0002923199,0.00001901753,0.002556141,0.1613807,0.00007449429,0.0007901632,0.003532849,0.006451837,0.06588902],"study_design_scores_gemma":[0.000002257988,0.0002026735,0.7135152,0.0001679235,0.000007844613,0.001174243,0.2619975,0.00004944133,0.0001982311,0.0002619642,0.02240704,0.00001575672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9649382,0.0007663997,0.00005246812,0.0009739424,0.00002278221,0.00004320724,0.0002252872,0.000002987849,0.03297472],"genre_scores_gemma":[0.9878647,0.001254327,0.00006162462,0.0005708283,0.00001774379,0.0000212864,0.000091273,0.000003337039,0.01011484],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02567379,"threshold_uncertainty_score":0.05104876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092366164408007,"score_gpt":0.1835751091088994,"score_spread":0.1726514474648194,"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."}}