{"id":"W2714450217","doi":"","title":"Northern Lakes Recovery Study (NLRS) – microcrustaceans Reference conditions, acidification and bio-logical recovery","year":2007,"lang":"en","type":"article","venue":"BIBSYS Brage (BIBSYS (Norway))","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nature","keywords":"Environmental science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002242874,0.0005637445,0.0005284192,0.0002910029,0.0005738218,0.0001627015,0.0006396981,0.0003344567,0.004279518],"category_scores_gemma":[0.0002910382,0.0005246711,0.0001341343,0.000827519,0.0005600387,0.0007515298,0.0005172822,0.000515578,0.004388847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006827381,"about_ca_system_score_gemma":0.00003140532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003081851,"about_ca_topic_score_gemma":0.002467756,"domain_scores_codex":[0.9953887,0.0004139512,0.0009732296,0.001375025,0.000911613,0.0009375006],"domain_scores_gemma":[0.997618,0.000443113,0.0003638998,0.001097586,0.00002809246,0.0004492795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004467806,0.003424601,0.3629996,0.00008345765,0.0002026904,0.0003437264,0.001964834,0.001028437,0.5482237,0.000180495,0.005801946,0.07529966],"study_design_scores_gemma":[0.001241828,0.0009567658,0.9555106,0.00004616842,0.0001179648,0.00008775042,0.002048493,0.00005202195,0.01055555,0.000672758,0.02765835,0.001051764],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815287,0.0002520225,0.002753319,0.0002549685,0.0003555116,0.001416002,0.0001798458,0.0001385603,0.01312108],"genre_scores_gemma":[0.9930044,0.0004259007,0.0014339,0.0004375718,0.0001372384,0.0001026457,0.0001173118,0.0000695901,0.004271431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5925109,"threshold_uncertainty_score":0.9997205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199358918024384,"score_gpt":0.2572270365294108,"score_spread":0.235233447349167,"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."}}