{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008333466,0.003823537,0.002545407,0.004564982,0.0009668386,0.003689123,0.004066702,0.003420777,0.3113948],"category_scores_gemma":[0.003199597,0.0007826068,0.001342056,0.008378101,0.0006179632,0.002299344,0.003283549,0.002021231,0.6249111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001270454,"about_ca_system_score_gemma":0.001315631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01165196,"about_ca_topic_score_gemma":0.01244445,"domain_scores_codex":[0.9988981,0.000121695,0.0001187124,0.0003232814,0.0003446466,0.0001935351],"domain_scores_gemma":[0.9992059,0.0001161239,0.0000482837,0.0003714182,0.0001669432,0.00009140799],"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":[0.0000766211,0.00005268376,0.001155082,0.00103197,0.00004565779,0.00006604283,0.00002493941,0.0009510361,0.0003658251,0.000709481,0.9672469,0.02827376],"study_design_scores_gemma":[0.00006254145,0.00002544221,0.001904366,0.0002551787,0.00001630943,0.00009591732,0.00004697935,0.001662344,0.0006446967,0.002158289,0.993099,0.00002883519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003131143,0.0004037045,0.0006275447,0.0001414578,0.0001277459,0.0000582793,0.9879395,0.00495277,0.005435887],"genre_scores_gemma":[0.0006119131,0.0002414826,0.000562784,0.00005759416,0.00001420847,0.00008250108,0.9954113,0.0001899932,0.002828148],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6886052,"threshold_uncertainty_score":0.9822117,"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."}}