{"id":"W4394017644","doi":"10.53555/sfs.v10i1.2277","title":"https://doi.org/10.53555/sfs.v10i1.2277","year":2023,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Digital Media and Visual Art","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geochemistry; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005504811,0.000157052,0.0003285081,0.0004737215,0.0001669662,0.0005890264,0.001914349,0.00005811808,0.0001698075],"category_scores_gemma":[0.001461223,0.0001158647,0.0001002816,0.003251219,0.0004966633,0.003059508,0.0003379995,0.0002756584,0.0005191526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004140242,"about_ca_system_score_gemma":0.0003155518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008408671,"about_ca_topic_score_gemma":0.00007058342,"domain_scores_codex":[0.9973694,0.0002574698,0.0006279767,0.0002871062,0.000969062,0.0004889961],"domain_scores_gemma":[0.9982069,0.0008451095,0.0003105635,0.0002218377,0.0002326777,0.0001829728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002941146,0.0001235204,0.9382554,0.00001607546,0.0000145053,0.000185579,0.001411597,0.0001116601,0.0002266986,0.001847641,0.04339096,0.01438701],"study_design_scores_gemma":[0.0003762427,0.001016521,0.9500738,0.00009594606,0.000002645761,0.00003089901,0.0003991618,0.0009314684,0.0006465526,0.005550362,0.04057635,0.0003000662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709841,0.00008892384,0.000545337,0.002794835,0.002785687,0.00007221974,0.000002270645,0.00006687069,0.02265974],"genre_scores_gemma":[0.993743,0.0001047706,0.001440935,0.0002368091,0.0001949276,0.000002950961,0.000001227959,0.000007105206,0.004268294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02275887,"threshold_uncertainty_score":0.667283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.293382198485326,"score_gpt":0.3292959986407906,"score_spread":0.03591380015546458,"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."}}