{"id":"W7131965218","doi":"","title":"North American Great Lakes - its Share in World Maritime Transport","year":2017,"lang":"hr","type":"dissertation","venue":"University of Split Repository","topic":"Stonefly species taxonomy and ecology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Life history; Field (mathematics)","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":[0.00006209683,0.0004031904,0.0008625362,0.0005625398,0.0003579068,0.00002242515,0.0007205508,0.000260941,0.000864932],"category_scores_gemma":[0.000009281381,0.0005973376,0.0002845285,0.000271271,0.0002674727,0.0003004558,0.00003516058,0.0005991769,0.00008050344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004451951,"about_ca_system_score_gemma":0.000154377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005485931,"about_ca_topic_score_gemma":0.2186523,"domain_scores_codex":[0.9984053,0.00003364245,0.0003712584,0.0005341145,0.0002090686,0.0004465529],"domain_scores_gemma":[0.9986664,0.00006177538,0.0004375992,0.0005602046,0.0001200547,0.0001539336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008492694,0.0002590192,0.9705396,0.002108588,0.0007155885,0.003426001,0.007441367,0.002831501,0.0005789593,0.0003757742,0.001599244,0.009275087],"study_design_scores_gemma":[0.0005043914,0.00008191011,0.9560246,0.0003393399,0.0002077793,0.000009999944,0.002814375,0.0003439855,0.0002912606,0.000001196368,0.03887185,0.0005093159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8466902,0.0003123113,0.000005987735,0.00002090161,0.0007003709,0.0002990634,0.0001453741,0.00006403102,0.1517617],"genre_scores_gemma":[0.9020335,0.0002789956,0.0001811799,0.000005563753,0.000118469,7.919265e-7,0.0005861236,0.00003346125,0.09676188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2131663,"threshold_uncertainty_score":0.9996478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009223761694769027,"score_gpt":0.1849415461762605,"score_spread":0.1757177844814915,"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."}}