{"id":"W7133286525","doi":"","title":"2021 Musquash monitoring review","year":2022,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fisheries and Oceans Canada","keywords":"Context (archaeology); Baseline (sea); Work (physics); Monitoring and evaluation; Foundation (evidence); Environmental monitoring","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003482315,0.0008325363,0.0009934168,0.007862017,0.0006000872,0.001971042,0.00200288,0.001220007,0.0372203],"category_scores_gemma":[0.01081265,0.0004458873,0.001334536,0.00554479,0.0003426723,0.002512466,0.001666507,0.001014781,0.009192795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002406844,"about_ca_system_score_gemma":0.0103465,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01625382,"about_ca_topic_score_gemma":0.0320619,"domain_scores_codex":[0.9982406,0.0004240456,0.0004796546,0.0002078402,0.0005567334,0.0000911169],"domain_scores_gemma":[0.9928586,0.002516876,0.001185747,0.0003050099,0.002861997,0.0002717081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001026949,0.0000298379,0.001043711,0.07941725,0.0002619584,0.0001114623,0.0002328824,0.0002510155,0.0007922537,0.003715454,0.2179008,0.6961406],"study_design_scores_gemma":[0.000008239763,0.00003722958,0.002967387,0.04342273,0.0002284428,0.00011592,0.00006212814,0.00006325263,0.0001763566,0.0005448697,0.9523596,0.00001396683],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.001472364,0.9231949,0.002201578,0.009837424,0.005007277,0.0006697768,0.0177398,0.0005986585,0.0392782],"genre_scores_gemma":[0.009393778,0.9309621,0.006222136,0.007022811,0.001178579,0.0008640668,0.0216984,0.0001827642,0.0224754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9837462,"threshold_uncertainty_score":0.1245143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159836335020491,"score_gpt":0.2517328549800503,"score_spread":0.2401344916298454,"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."}}