{"id":"W4393787353","doi":"10.5281/zenodo.6265204","title":"Lake St-Pierre ship wave study","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine and Offshore Engineering Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Oceanography; Geology; Geography; Hydrology (agriculture); Archaeology; Meteorology; Geotechnical 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","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005004783,0.0003478981,0.0003367788,0.000385874,0.001430983,0.0004652228,0.001162509,0.00009909178,0.2399224],"category_scores_gemma":[0.0002930035,0.0003919078,0.00008104373,0.0005497283,0.0000528161,0.0001020737,0.002298796,0.0009659372,0.002191882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000177986,"about_ca_system_score_gemma":0.000002500205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002068085,"about_ca_topic_score_gemma":0.00001386509,"domain_scores_codex":[0.9980295,0.0001743164,0.0003274837,0.0004550924,0.000543674,0.0004699284],"domain_scores_gemma":[0.9987967,0.00003083586,0.00005758433,0.000811034,0.0001618721,0.0001419979],"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":[0.00001109373,0.0001263939,5.013164e-7,0.0002171024,0.0002197076,0.0001005257,0.0002818762,0.001090456,0.00000270101,0.00001750488,0.9889778,0.00895434],"study_design_scores_gemma":[0.0003020059,0.0002657525,0.0001370149,0.00001632457,0.00006376737,0.00004723797,0.0003315513,0.0002027992,0.000001689769,0.000007089924,0.9982395,0.0003853059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001509195,0.00023697,0.0000989067,0.00004531765,0.0006209736,0.0006966271,0.9789729,0.001861444,0.01731601],"genre_scores_gemma":[0.001108654,0.0004062832,0.00001796919,0.00002951531,0.0003190976,3.442625e-7,0.9954594,0.001936303,0.000722449],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2377305,"threshold_uncertainty_score":0.999869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03072296544934236,"score_gpt":0.2268801357436915,"score_spread":0.1961571702943491,"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."}}