{"id":"W7128623978","doi":"10.15468/zdqm9v","title":"McGill University: Phytoplankton collected from St. Margarets Bay between 1966-1967","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Bay; Phytoplankton; Standing crop; Resource (disambiguation); Food web; Taxon","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006750855,0.001177077,0.001003069,0.004368994,0.001075734,0.001631348,0.002137147,0.001087422,0.04345823],"category_scores_gemma":[0.003543851,0.0006394437,0.0005126618,0.009434583,0.0003512284,0.0006800454,0.001701367,0.0009543243,0.03104501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003511437,"about_ca_system_score_gemma":0.004526489,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4411375,"about_ca_topic_score_gemma":0.5806933,"domain_scores_codex":[0.9993138,0.00004947546,0.00007358267,0.0001988053,0.0001816307,0.0001826034],"domain_scores_gemma":[0.9978583,0.0003469325,0.0004074063,0.0003979464,0.0007039222,0.0002853503],"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":[0.0001003428,0.00001677741,0.00532671,0.0007894557,0.0000353067,0.00004863707,0.0000892513,0.0001792311,0.0002663185,0.0003963079,0.9891571,0.003594614],"study_design_scores_gemma":[0.0001703843,0.00001367478,0.06033495,0.0004528912,0.00004570751,0.00004448981,0.0002194362,0.0001991527,0.0005063892,0.0002905286,0.9376758,0.00004663448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000269485,0.00003357198,0.00001402505,0.00001906023,0.000007150456,0.000005547959,0.9992574,0.00003078021,0.0003629371],"genre_scores_gemma":[0.001450793,0.00005204097,0.0001784241,0.00002947291,0.000006595302,0.00007347406,0.9969448,0.00002620293,0.001238189],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5588626,"threshold_uncertainty_score":0.8771395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04209728712102038,"score_gpt":0.2781637085104957,"score_spread":0.2360664213894753,"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."}}