{"id":"W4389585018","doi":"10.17118/11143/21009","title":"Examining depth of water jet cut in ice blocks through the combinedeffects of operational parameters","year":2023,"lang":"en","type":"article","venue":"","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Water jet; Jet (fluid); Environmental science; Computer science; Aerospace 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":[],"consensus_categories":[],"category_scores_codex":[0.0001729809,0.00007567822,0.0001424834,0.00007864518,0.00002015941,0.000007282348,0.0001287562,0.00005526584,0.000007697717],"category_scores_gemma":[0.00006180015,0.0000428453,0.00002108522,0.0002091017,0.00004844657,0.00004359475,0.0000526281,0.00009714977,0.00001059974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009663633,"about_ca_system_score_gemma":0.000003951769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002013032,"about_ca_topic_score_gemma":0.00007305159,"domain_scores_codex":[0.9994966,0.00001569834,0.0001698631,0.00007400511,0.00009710742,0.0001467706],"domain_scores_gemma":[0.9995598,0.0002372293,0.00001154988,0.0001712356,0.00001471995,0.000005520597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001731994,0.00003993497,0.04007716,0.0002350975,0.0001112041,0.00001200304,0.005385857,0.8871871,0.0506805,0.004593107,0.006182318,0.005478358],"study_design_scores_gemma":[0.0002601264,0.00006518119,0.007558304,0.00006387483,0.000006607394,0.000002115464,0.0009265537,0.03924097,0.9509444,0.000794264,0.00005215823,0.00008548554],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931578,0.000009499285,0.001858313,0.0001283006,0.00009811976,0.00008547643,0.000001126939,0.000347932,0.004313407],"genre_scores_gemma":[0.9990285,0.00001299948,0.000818891,0.00002796225,0.000004410351,0.00001167163,0.000005622967,0.00001045247,0.00007946817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9002638,"threshold_uncertainty_score":0.1747181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03450422484628279,"score_gpt":0.2431270917308489,"score_spread":0.2086228668845661,"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."}}