{"id":"W4393642603","doi":"10.5281/zenodo.10281633","title":"CityPlace Schooner Riveting Hammer","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Engineering and Materials Science Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hammer; Rivet; Aeronautics; Computer science; Engineering; Mechanical engineering","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":[0.0003460916,0.00200281,0.0009114541,0.002941014,0.000609564,0.001654571,0.001960479,0.001403636,0.07296296],"category_scores_gemma":[0.001917299,0.0004856074,0.0009208338,0.005458141,0.000329009,0.001278088,0.001740731,0.001110602,0.1298803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156487,"about_ca_system_score_gemma":0.001265817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04642002,"about_ca_topic_score_gemma":0.1363934,"domain_scores_codex":[0.9995729,0.0000420932,0.00002981242,0.0001564869,0.0001140656,0.00008464257],"domain_scores_gemma":[0.9994549,0.00008143779,0.00005258004,0.0001818712,0.000159763,0.00006941366],"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":[0.00004988227,0.00001271148,0.0009426629,0.0002983441,0.00001241776,0.00003734243,0.00003552307,0.0003589849,0.000115073,0.0004433667,0.9942989,0.00339477],"study_design_scores_gemma":[0.00006142869,0.00001053395,0.004744783,0.0001462822,0.00001068729,0.00006785589,0.0001582552,0.0005443041,0.000290184,0.0007743322,0.9931678,0.0000235696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003294657,0.00005984085,0.00009309036,0.00003162909,0.00001847435,0.000007888036,0.9972217,0.000625981,0.001611869],"genre_scores_gemma":[0.0007980405,0.00005473124,0.0002689995,0.00001384413,0.000003396235,0.00002518322,0.9977302,0.0001044143,0.001001215],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07296296,"threshold_uncertainty_score":0.2440854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02598469927473277,"score_gpt":0.2168708647899022,"score_spread":0.1908861655151694,"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."}}