{"id":"W6887897198","doi":"10.17895/ices.pub.27054262","title":"Stock Annex: Blue ling (Molva dypterygia) in Subareas 1, 2, 4 and Division 3.a","year":2024,"lang":"en","type":"report","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":"Stock (firearms); Stock assessment; Norwegian; Icelandic; West coast","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"],"consensus_categories":[],"category_scores_codex":[0.007372654,0.0005695467,0.0005834383,0.0004044552,0.0002370587,0.0004213811,0.001582309,0.0003634788,0.00007944704],"category_scores_gemma":[0.004392802,0.0003777125,0.0004737401,0.0005299585,0.0002362924,0.001094941,0.0006555815,0.0008208613,0.0001637032],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003974518,"about_ca_system_score_gemma":0.0028514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001290141,"about_ca_topic_score_gemma":0.003508898,"domain_scores_codex":[0.9914073,0.0001970998,0.001315586,0.0008308977,0.005882088,0.0003669678],"domain_scores_gemma":[0.9912335,0.00104517,0.001284252,0.0008993373,0.005459805,0.00007791267],"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":[0.005091239,0.001844014,0.01048749,0.005834064,0.008447985,0.0001241938,0.03174096,0.1429602,0.01883847,0.02335823,0.7057421,0.04553108],"study_design_scores_gemma":[0.002274094,0.00028164,0.00282484,0.005248905,0.0008086057,0.00009071422,0.001335491,0.09864776,0.003978213,0.03502733,0.8481532,0.001329185],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5571079,0.06287537,0.02109232,0.06468594,0.1151486,0.02624747,0.03752507,0.001642062,0.1136753],"genre_scores_gemma":[0.9870273,0.0009533438,0.00012905,0.0001078838,0.00130399,0.0005787974,0.000549186,0.0002659938,0.009084401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4299195,"threshold_uncertainty_score":0.9998675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3010477558091736,"score_gpt":0.3524825387546086,"score_spread":0.05143478294543502,"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."}}