{"id":"W6968476405","doi":"10.5281/zenodo.2542607","title":"Cryocooler Market Size, Share, Trends, Competitive Analysis and Growth Opportunities Forecast to 2023","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Thermodynamic Systems and Engines","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cryocooler; Windage; Work (physics); Gas compressor","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":[0.0007786742,0.0004523624,0.0002590678,0.002640206,0.0004647696,0.002792561,0.0006951397,0.000674284,0.03104424],"category_scores_gemma":[0.002463455,0.0001481806,0.0005906775,0.005476235,0.0003716398,0.00332297,0.000744181,0.0009518334,0.01714902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002584868,"about_ca_system_score_gemma":0.001838089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01670806,"about_ca_topic_score_gemma":0.01440325,"domain_scores_codex":[0.9993873,0.00002405204,0.00001890446,0.00009343943,0.0003538853,0.0001223903],"domain_scores_gemma":[0.9978889,0.0002741284,0.0004023225,0.00003008907,0.001020886,0.0003837015],"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":[0.000695966,0.0001580232,0.03137119,0.0007216581,0.00004905859,0.0004898676,0.0004523512,0.002402862,0.004323773,0.03719136,0.7075199,0.214624],"study_design_scores_gemma":[0.00005078308,0.0003608551,0.1202728,0.0003910414,0.00004768642,0.0007070562,0.001398972,0.008855896,0.003647572,0.004040457,0.8601183,0.0001085921],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2932454,0.04709616,0.005579354,0.02452886,0.002276927,0.0002136299,0.1976676,0.002457769,0.4269344],"genre_scores_gemma":[0.6699294,0.03645346,0.003053874,0.003573358,0.001898726,0.0002053206,0.1217658,0.0007875968,0.1623325],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03104424,"threshold_uncertainty_score":0.1038533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01988604153325875,"score_gpt":0.2073211261697858,"score_spread":0.1874350846365271,"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."}}