{"id":"W3017243472","doi":"10.1002/fsh.10419","title":"InFish: A Professional Network to Promote Global Conservation and Responsible Use of Inland Fish","year":2020,"lang":"en","type":"article","venue":"Fisheries","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000896493,0.00007138744,0.0001147713,0.000005047576,0.0001178124,0.00001714031,0.00006280852,0.00003877232,0.0003130402],"category_scores_gemma":[0.0002293478,0.00006464842,0.00001144341,0.0002117046,0.0001450108,0.0002451008,0.0003950517,0.00004171161,0.00001924016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001603465,"about_ca_system_score_gemma":0.000008815899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006441054,"about_ca_topic_score_gemma":0.0009439943,"domain_scores_codex":[0.9994385,0.00004073285,0.0001242055,0.0001650181,0.00009851956,0.0001330871],"domain_scores_gemma":[0.9997777,0.00004664161,0.00004698661,0.00006779029,0.000008092515,0.000052827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001084647,0.000008184142,0.5590059,0.000009999539,0.000007977444,0.000001595253,0.0003000039,0.00004549794,0.00001750908,0.00009874636,0.4402281,0.0001679378],"study_design_scores_gemma":[0.0001115456,0.0001127727,0.7582591,0.000009501883,0.000006713169,3.928204e-7,0.00004806936,0.00008474533,0.00001875416,0.0004683164,0.2408248,0.00005530839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9501379,0.000002774416,0.00006627293,0.04575964,0.00008707201,0.0002756549,0.0000190004,0.0000268637,0.003624849],"genre_scores_gemma":[0.9344853,0.00002780625,0.01064812,0.05218666,0.00007212715,0.000071199,0.00001808073,0.00001030475,0.002480469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1994033,"threshold_uncertainty_score":0.342757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02770711476019829,"score_gpt":0.2309911453296319,"score_spread":0.2032840305694336,"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."}}