{"id":"W6967976121","doi":"10.5281/zenodo.1345202","title":"Carboncure Technologies","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Structural mechanics and materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Technology development; Emerging technologies; Field (mathematics); Work (physics); Technology assessment","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":[0.0003821724,0.001011462,0.0003865853,0.00272541,0.001328024,0.001638284,0.000820645,0.001813343,0.01911585],"category_scores_gemma":[0.0004975031,0.0003617709,0.0003206955,0.001391997,0.0006933239,0.001894906,0.0012123,0.001154047,0.009748456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001719698,"about_ca_system_score_gemma":0.001326921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002415292,"about_ca_topic_score_gemma":0.005970745,"domain_scores_codex":[0.9986894,0.00003732434,0.00002697277,0.0001539522,0.0009635754,0.0001287817],"domain_scores_gemma":[0.9997708,0.00003117628,0.00002655528,0.00002801327,0.0001059655,0.00003743134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001460712,0.0001805349,0.0009059027,0.002493292,0.00003047251,0.001105917,0.000412121,0.001368131,0.2182213,0.207908,0.06901878,0.4982095],"study_design_scores_gemma":[0.000006080921,0.00005320787,0.0003767071,0.0001197187,0.000007125138,0.0008511327,0.00005438153,0.0002586638,0.06915719,0.004089684,0.9250029,0.000023282],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02606038,0.1251767,0.0585647,0.003878403,0.002770653,0.0004183227,0.001270754,0.002362716,0.7794973],"genre_scores_gemma":[0.1866222,0.1083652,0.04501427,0.002506641,0.0007796948,0.0003573146,0.001870778,0.0007746138,0.6537092],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01911585,"threshold_uncertainty_score":0.06394887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03134019475572857,"score_gpt":0.2482571943638963,"score_spread":0.2169169996081678,"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."}}