{"id":"W7067729975","doi":"","title":"Material schmecken: Die Materialsammlung der ETH Zürich - ein Kooperationsprojekt der ETH-Bibliothek mit dem Departement Architektur und dem Netzwerk Material-Archiv","year":2017,"lang":"en","type":"other","venue":"reroDoc Digital Library","topic":"Acoustic Wave Resonator Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Exhibition; Data collection; Joint (building); Architecture","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":[],"consensus_categories":[],"category_scores_codex":[0.002586412,0.001077838,0.0007063756,0.00704753,0.004381153,0.01413582,0.00166905,0.001568911,0.209274],"category_scores_gemma":[0.003694745,0.0005566626,0.000407797,0.008195902,0.002214779,0.008403507,0.007735725,0.001796348,0.1048735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002901715,"about_ca_system_score_gemma":0.004920332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0031412,"about_ca_topic_score_gemma":0.006715119,"domain_scores_codex":[0.9979404,0.0002782802,0.0001305059,0.0002158546,0.001257706,0.0001772756],"domain_scores_gemma":[0.9981977,0.0002804254,0.0000948236,0.0005889621,0.0004558242,0.0003821435],"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":[0.00009692011,0.00008467958,0.0006141746,0.001106371,0.00001281979,0.0002975058,0.002045567,0.0003191897,0.002596205,0.1253948,0.431819,0.4356127],"study_design_scores_gemma":[0.000003042921,0.000006605604,0.0003686319,0.0001573463,0.000002411491,0.0001195013,0.000295896,0.00006007527,0.001247291,0.004957569,0.9927719,0.000009756252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007101645,0.01222333,0.01410884,0.003376672,0.002369077,0.000339079,0.008731629,0.004095264,0.9476545],"genre_scores_gemma":[0.03176169,0.01101461,0.01906185,0.0004564493,0.0007763245,0.0003188952,0.01145322,0.004668398,0.9204887],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.209274,"threshold_uncertainty_score":0.7000914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135492284055603,"score_gpt":0.2355697078947129,"score_spread":0.2242147850541569,"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."}}