{"id":"W2804495494","doi":"10.3897/biss.2.24930","title":"Documenting the occurrence through space &amp;amp; time of aquatic non-indigenous fish, mollusks, algae, &amp;amp; plants threatening North America's Great Lakes utilizing herbaria &amp;amp; zoological museum specimens","year":2018,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herbarium; Indigenous; Geography; Fishery; Algae; Ecology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003169877,0.0001622796,0.0001130016,0.005702845,0.0008769831,0.0005309332,0.0003382681,0.0001473795,0.0176726],"category_scores_gemma":[0.00109766,0.0001986903,0.00008957191,0.004754728,0.0002510929,0.0006879055,0.0007629642,0.0002476101,0.003495558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006254775,"about_ca_system_score_gemma":0.001121851,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07034785,"about_ca_topic_score_gemma":0.2545248,"domain_scores_codex":[0.9997329,0.00002308237,0.00003125309,0.00005264073,0.0001249327,0.00003523144],"domain_scores_gemma":[0.9981415,0.0002066576,0.0004807033,0.0001666215,0.0006814608,0.000323019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001493948,0.00009502825,0.4438451,0.0006921409,0.00005472189,0.0008145514,0.006125444,0.0003686916,0.01847471,0.00139028,0.3783362,0.1496537],"study_design_scores_gemma":[0.000006174284,0.00002272706,0.8557351,0.00007461418,0.00001497701,0.0002313598,0.001906216,0.0003535027,0.002021979,0.00009579938,0.1395221,0.0000156092],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.49128,0.0007153335,0.002578036,0.0005022945,0.0001364595,0.0005609439,0.3943082,0.001495272,0.1084235],"genre_scores_gemma":[0.5683646,0.002007376,0.03103497,0.0003397381,0.000202242,0.0008558366,0.3362811,0.0004824919,0.06043163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9296522,"threshold_uncertainty_score":0.1398767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02524112534766974,"score_gpt":0.2572026693154186,"score_spread":0.2319615439677488,"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."}}