{"id":"W4393627548","doi":"10.5281/zenodo.10379374","title":"CityPlace Schooner Riveting Hammer","year":2019,"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; Engineering; Computer science; Marine 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":[0.0003885723,0.001980192,0.001010656,0.003262676,0.0007773923,0.001892521,0.002293246,0.001686897,0.08332353],"category_scores_gemma":[0.002551801,0.0005183754,0.0009624116,0.005937055,0.0003680407,0.001464491,0.002070341,0.001193961,0.1369995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001360597,"about_ca_system_score_gemma":0.001627985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04646584,"about_ca_topic_score_gemma":0.1418011,"domain_scores_codex":[0.9995195,0.00004838613,0.0000391814,0.000176695,0.0001264878,0.00008977097],"domain_scores_gemma":[0.9993312,0.0001241163,0.00006814209,0.0002165836,0.0001795163,0.00008046646],"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":[0.0000529205,0.00001212175,0.0008735328,0.0003652989,0.00001283723,0.00004296457,0.0000373408,0.0002641645,0.0001098983,0.0004943642,0.9947838,0.00295075],"study_design_scores_gemma":[0.00006579302,0.000008657857,0.003576989,0.0001496375,0.00001096562,0.00006030291,0.000125229,0.0003533691,0.0002561738,0.0007308924,0.9946415,0.00002040738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002867993,0.00007403935,0.00008306172,0.00003836198,0.00001649579,0.000007713539,0.9973143,0.0006288047,0.001550462],"genre_scores_gemma":[0.0006934291,0.00006153427,0.0002694744,0.00001640278,0.000003478824,0.00002772974,0.9977622,0.0001200504,0.001045658],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08332353,"threshold_uncertainty_score":0.278745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02882244840380181,"score_gpt":0.2271607086034878,"score_spread":0.198338260199686,"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."}}