{"id":"W6968999030","doi":"10.5281/zenodo.6220725","title":"Cryptochironomus digitatus Malloch","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seta; George (robot); Beaver; Fishing; Pupa","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":[0.00005584316,0.0003090544,0.0001161674,0.001003884,0.0007173226,0.0001646517,0.0002533614,0.0002409485,0.01081989],"category_scores_gemma":[0.0001401881,0.0001037122,0.000111519,0.0004759373,0.0003937315,0.0001665017,0.0007203302,0.0001506111,0.001795838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005582194,"about_ca_system_score_gemma":0.0002698689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03193145,"about_ca_topic_score_gemma":0.08256882,"domain_scores_codex":[0.9999311,0.000003608555,0.000005309294,0.00002867857,0.00001331819,0.00001794371],"domain_scores_gemma":[0.9999214,0.000005476026,0.00002590482,0.000007809791,0.00001342876,0.0000259898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00209842,0.0002600433,0.597342,0.0007212015,0.00008894624,0.003075164,0.002213582,0.000498629,0.1275286,0.00372679,0.006581323,0.2558653],"study_design_scores_gemma":[0.00003845237,0.0003181768,0.9634495,0.00008083007,0.00004238532,0.002377766,0.001117036,0.000231743,0.00356174,0.0002323398,0.02852946,0.00002058847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9561497,0.0004569676,0.0007402307,0.00009411534,0.00005623015,0.00009892425,0.001034063,0.0001083323,0.0412616],"genre_scores_gemma":[0.9840899,0.000129024,0.001075075,0.0001196318,0.00001062765,0.00001851167,0.0006419807,0.000005518898,0.01390981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03193145,"threshold_uncertainty_score":0.06349123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702276673879354,"score_gpt":0.2142277172028648,"score_spread":0.1972049504640712,"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."}}