{"id":"W4395488713","doi":"10.15468/bm8amw","title":"Canadian Museum of Nature Fish Collection","year":2018,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"Fish <Actinopterygii>; Fishery; Geography; Art; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000115842,0.00008409956,0.000135397,0.0000367645,0.0002442655,0.00001778153,0.0005166156,0.0003864723,0.04495074],"category_scores_gemma":[0.00003254703,0.00007815826,0.0000231259,0.0001232001,0.0001738432,0.00006296088,0.0004916508,0.0002022736,0.001559268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002160163,"about_ca_system_score_gemma":0.00005968806,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.22899,"about_ca_topic_score_gemma":0.9818482,"domain_scores_codex":[0.9994744,0.00002328254,0.00007386797,0.0002122424,0.00007800963,0.0001381814],"domain_scores_gemma":[0.9996745,0.00001536464,0.00007261454,0.0001704369,0.000007560681,0.0000595309],"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":[0.000006910744,0.00001519324,0.003283396,0.000001938921,0.00002137406,0.000008767493,0.00003716222,1.872033e-7,0.00000146052,9.321564e-9,0.9965218,0.0001017426],"study_design_scores_gemma":[0.00007728517,0.00006564307,0.009688132,0.000007471463,0.00003495454,0.000002085313,0.00004358921,2.111647e-7,0.00008606302,0.000002022887,0.9899035,0.00008906281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004783567,0.000004423622,6.016406e-9,0.0007593919,0.0003359491,0.0001844088,0.986698,1.761644e-7,0.007234103],"genre_scores_gemma":[0.0006971013,0.00005143442,0.0001523339,0.0004741479,0.00004165221,0.00000345872,0.9940509,0.000002097233,0.004526827],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7528583,"threshold_uncertainty_score":0.9992181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300045515815441,"score_gpt":0.2406111714692038,"score_spread":0.2276107163110494,"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."}}