{"id":"W4220785131","doi":"10.1063/5.0087283.1","title":"10.1063/5.0087283.1","year":2022,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Polymer Nanocomposites and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Catenane; Polystyrene; Interlocking; Viscosity; Materials science; Polymer; Composite material; Polymer science; Polymer chemistry; Physics; Mechanical engineering; Engineering","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000245823,0.0006258128,0.000690978,0.0002233175,0.0003942759,0.001186337,0.001458442,0.0002653706,0.2472743],"category_scores_gemma":[0.0001052245,0.0005365328,0.0003314468,0.000322757,0.0001886685,0.000709089,0.001143006,0.0004753166,0.01443634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001553825,"about_ca_system_score_gemma":0.0001282604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006136367,"about_ca_topic_score_gemma":0.00004270071,"domain_scores_codex":[0.9967127,0.000109152,0.0006140062,0.0008870479,0.0008818655,0.0007952491],"domain_scores_gemma":[0.998126,0.0001777536,0.000320769,0.001111481,0.00004830613,0.0002156942],"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":[0.0001415295,0.0001762494,0.000001997544,0.0001116469,0.00003403863,0.0001285276,0.00002240307,0.000003794149,0.001833313,0.000006418446,0.9954231,0.00211695],"study_design_scores_gemma":[0.0003044063,0.0005284628,0.000006844651,0.00004271031,0.00005891736,0.0001041513,0.00002495141,0.000002978194,0.001687791,0.00004970737,0.9964383,0.0007508441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008687226,0.00210993,0.000002366774,0.0000385822,0.001189108,0.0003583622,0.9881781,0.0002266609,0.007028178],"genre_scores_gemma":[0.000746805,0.00006459511,0.00001604097,0.0003291717,0.0003731983,0.0001716205,0.9851535,0.00006969008,0.01307541],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.232838,"threshold_uncertainty_score":0.9998505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047643375159981,"score_gpt":0.2235159508690251,"score_spread":0.2130395171174252,"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."}}