{"id":"W7107972006","doi":"10.17895/ices.pub.30735107","title":"Theme Session E_What can we learn from long-term time-series?","year":2025,"lang":"","type":"other","venue":"International Council for the Exploration of the Sea (ICES)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Theme (computing); Key (lock)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.003169717,0.001510557,0.001232438,0.0004629238,0.001177402,0.0008866722,0.006610778,0.0008861758,0.01738631],"category_scores_gemma":[0.002873283,0.001018349,0.001460666,0.0008849058,0.0009887844,0.002273883,0.001423551,0.00115336,0.004290163],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005158416,"about_ca_system_score_gemma":0.005419722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001802088,"about_ca_topic_score_gemma":0.00768092,"domain_scores_codex":[0.9874972,0.0008650996,0.002073519,0.001617225,0.007139749,0.0008071797],"domain_scores_gemma":[0.9834192,0.001925301,0.004465242,0.002762219,0.007238673,0.0001893664],"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":[0.01453018,0.002365245,0.002168715,0.00107858,0.01795608,0.00001933709,0.01616211,0.01815376,0.02572961,0.01584036,0.8560353,0.02996072],"study_design_scores_gemma":[0.004737142,0.0003244424,0.0007451528,0.006983254,0.001977879,0.000009911665,0.001902287,0.01604648,0.01156845,0.02568176,0.9283006,0.00172268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009010849,0.02559246,0.05195516,0.2058613,0.1049063,0.03232069,0.1299989,0.001613771,0.4387406],"genre_scores_gemma":[0.06678981,0.004762783,0.0005345859,0.0008859379,0.005010821,0.001112728,0.003448205,0.001213059,0.9162421],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4775015,"threshold_uncertainty_score":0.9997643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1097826333037581,"score_gpt":0.2941922313992823,"score_spread":0.1844095980955242,"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."}}