{"id":"W4317532309","doi":"10.1002/lob.10543","title":"New Webinar Series: Voices in Mental Health and <scp>Well‐Being</scp> in Aquatic Sciences","year":2023,"lang":"en","type":"article","venue":"Limnology and Oceanography Bulletin","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina; Université du Québec à Montréal","funders":"","keywords":"Library science; Computer science","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":[0.0004424899,0.0001454171,0.0001849835,0.0003081957,0.0001935494,0.00003449117,0.0001598502,0.00005516353,0.0001337756],"category_scores_gemma":[0.00002724836,0.0001327628,0.00002677306,0.0009309486,0.00049269,0.00009398691,0.001037511,0.0001321913,0.0001383151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001755429,"about_ca_system_score_gemma":0.0000115313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001532667,"about_ca_topic_score_gemma":0.002518123,"domain_scores_codex":[0.9986935,0.00008031842,0.0002179182,0.0004197248,0.0001390113,0.0004494833],"domain_scores_gemma":[0.9996396,0.00008544702,0.00005743216,0.00009698877,8.634636e-7,0.000119681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001801615,0.0000594302,0.923136,0.00003994243,0.000008739709,0.00002728791,0.003440266,0.00002363494,0.00003172936,0.001772976,0.04141193,0.03003004],"study_design_scores_gemma":[0.001126121,0.000813904,0.419552,0.00007335149,0.000005696372,0.00002183451,0.008412207,0.000301333,0.00002881352,0.02136595,0.5481322,0.0001665568],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610335,0.0005412078,0.00001052792,0.01825443,0.0001105326,0.0002697083,0.00000141877,0.00006337352,0.01971528],"genre_scores_gemma":[0.9847181,0.005462461,0.001040208,0.001941589,0.00002345184,0.00001772096,0.0000125398,0.00001221865,0.006771685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5067203,"threshold_uncertainty_score":0.5413912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006135995766768064,"score_gpt":0.2109769019101056,"score_spread":0.2048409061433375,"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."}}