{"id":"W4321483692","doi":"10.33175/mtr.2023.264087","title":"Acknowledgement to Reviewers of Maritime Technology and Research in 2022","year":2023,"lang":"en","type":"article","venue":"Maritime Technology and Research","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Gratitude; Political science; Library science; Humanities; Geography; History; Law; Art; Psychology","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":[0.0335376,0.002159802,0.002275846,0.006750074,0.004543601,0.01853801,0.002518205,0.007666052,0.03845292],"category_scores_gemma":[0.1959234,0.0008726016,0.001693422,0.002998654,0.002778198,0.007676793,0.003679911,0.008237722,0.0288148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004469759,"about_ca_system_score_gemma":0.01889862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001821044,"about_ca_topic_score_gemma":0.003001616,"domain_scores_codex":[0.9534776,0.01231221,0.007003132,0.004430962,0.0206423,0.002133865],"domain_scores_gemma":[0.6353942,0.02603777,0.01679871,0.008331345,0.2823144,0.03112364],"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":[0.00005365417,0.000007761711,0.0001943981,0.0003922534,0.00001448727,0.0002140046,0.0002501947,0.000021339,0.0001660064,0.0008374804,0.9852839,0.01256457],"study_design_scores_gemma":[0.00001808173,0.00001910111,0.0002915226,0.0005663479,0.0000205926,0.0004682175,0.0004251979,0.00005658644,0.0001216025,0.0008267069,0.9971624,0.0000237488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003011521,0.01085958,0.00128681,0.1009159,0.8786985,0.0001828516,0.0002008774,0.0003554934,0.007198969],"genre_scores_gemma":[0.01083956,0.01684272,0.003688591,0.0818332,0.8088663,0.0006015386,0.0005680686,0.0009798259,0.07578033],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03845292,"threshold_uncertainty_score":0.1773659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09079144365131436,"score_gpt":0.4551908435905129,"score_spread":0.3643993999391985,"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."}}