{"id":"W4393658718","doi":"10.5281/zenodo.6382502","title":"Supplementary material for 'In-situ full-field measurements for 3D printed polymers during mode I interface failure'","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Integrated Circuits and Semiconductor Failure Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada); Polytechnique Montréal","funders":"","keywords":"In situ; Interface (matter); Mode (computer interface); Materials science; Polymer; Field (mathematics); Failure mode and effects analysis; Composite material; Computer science; Chemistry; Human–computer interaction; Mathematics","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":[],"category_scores_codex":[0.000442763,0.0003738097,0.0004066002,0.0006407894,0.000902458,0.0005218494,0.001266999,0.0001788833,0.1447606],"category_scores_gemma":[0.0001773055,0.0004256916,0.0001622174,0.000395538,0.0000365515,0.0001674502,0.0005168161,0.0005281189,0.0001234069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006334766,"about_ca_system_score_gemma":0.000008238124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001972674,"about_ca_topic_score_gemma":0.00009654295,"domain_scores_codex":[0.9976603,0.0001412704,0.0005542501,0.0005836049,0.0004134163,0.000647174],"domain_scores_gemma":[0.9988736,0.00002989989,0.00012721,0.0005660056,0.000272765,0.0001304995],"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":[0.0002086189,0.00006697656,1.42376e-7,0.0004361656,0.0003614976,0.000005555058,0.000214761,0.0007963284,0.08268584,0.00001208514,0.9136064,0.001605604],"study_design_scores_gemma":[0.0009413154,0.0002123783,8.525465e-7,0.00006040218,0.0001343548,0.00002284318,0.0004158381,0.0004315752,0.01951676,0.00000804902,0.9778414,0.0004141714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002641957,0.00004244243,0.001959463,0.0001557571,0.0005219985,0.001264737,0.99255,0.0003152303,0.0005483808],"genre_scores_gemma":[0.01062263,0.00006660642,0.0001973958,0.00004933262,0.0002114576,0.000002718107,0.9874237,0.00129505,0.0001311536],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1446372,"threshold_uncertainty_score":0.9998195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02397936095615742,"score_gpt":0.2414779322779999,"score_spread":0.2174985713218425,"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."}}