{"id":"W4232334455","doi":"10.1063/1.4942251.1","title":"10.1063/1.4942251.1","year":2016,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Material Properties and Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Softwood; Water content; Papermaking; Hardwood; Transparency (behavior); Kraft paper; Absorption of water; Moisture; Pulp and paper industry; Kraft process; Pulp (tooth); Process engineering; Materials science; Composite material; Environmental science; Computer science; Engineering; Geotechnical engineering; Botany","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008081443,0.0005612786,0.0005078071,0.00014014,0.0000864981,0.0007925843,0.0005239394,0.0004184871,0.005456992],"category_scores_gemma":[0.00006868241,0.000417532,0.0001649095,0.0001332339,0.00006829684,0.0006167194,0.0001677769,0.0002683729,0.01006237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001013144,"about_ca_system_score_gemma":0.00002784418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002941283,"about_ca_topic_score_gemma":0.00001269816,"domain_scores_codex":[0.9982401,0.00001386716,0.0004486756,0.0003987906,0.0003161185,0.0005825068],"domain_scores_gemma":[0.9990619,0.00005306593,0.00008372101,0.000599031,0.00004441983,0.0001578556],"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":[0.00003095155,0.00001631267,3.235692e-7,0.0006304606,0.00006308084,0.00003629647,0.000006836819,0.00001119041,0.00006444812,0.000001819947,0.9782187,0.02091963],"study_design_scores_gemma":[0.0002297051,0.0000894742,0.000002070001,0.0003255223,0.00002822493,0.00002768244,0.000004918035,0.00004619296,0.000134623,0.00009137073,0.9983518,0.0006684708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009179737,0.000867512,0.00005606561,0.00001139003,0.001158431,0.0001780402,0.972483,0.0004682559,0.02468554],"genre_scores_gemma":[0.002597529,0.0001689208,0.00001208506,0.00005795127,0.0011979,0.00004647032,0.9903798,0.0001263065,0.005413045],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02025116,"threshold_uncertainty_score":0.9998276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007325723719188426,"score_gpt":0.1951688969151644,"score_spread":0.187843173195976,"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."}}