{"id":"W7045791134","doi":"","title":"Black Bay &amp; Black Sturgeon River native fisheries rehabilitation: Recommendations and rationale","year":2010,"lang":"en","type":"article","venue":"ScholarWorks@UMassAmherst (University of Massachusetts Amherst)","topic":"Technology, Environment, Urban Planning","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sturgeon; Bay; Habitat; Lamprey; Population; Predation","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":[0.04352786,0.002465541,0.001504987,0.005892758,0.003669276,0.008977836,0.006641308,0.01923374,0.02269903],"category_scores_gemma":[0.06118166,0.001321132,0.002121859,0.004612667,0.003856362,0.008300358,0.006732332,0.01760163,0.008815303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01068479,"about_ca_system_score_gemma":0.07067097,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01876155,"about_ca_topic_score_gemma":0.04675841,"domain_scores_codex":[0.978851,0.009947117,0.003256449,0.0008299001,0.005345132,0.001770406],"domain_scores_gemma":[0.916145,0.02201151,0.005437196,0.0009467118,0.04026576,0.0151938],"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":[0.0001101468,0.0008280636,0.005046358,0.01233597,0.00007193056,0.0007894216,0.001077842,0.001450745,0.0004218307,0.02545839,0.744545,0.2078643],"study_design_scores_gemma":[0.0003519501,0.0004034672,0.00667632,0.0910066,0.0001704463,0.0005013127,0.005356048,0.00134736,0.000464437,0.02233335,0.8712208,0.0001679749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001762683,0.0165957,0.006174858,0.9000949,0.01223712,0.01015073,0.00205517,0.0002589512,0.05066984],"genre_scores_gemma":[0.02739612,0.07254103,0.1428683,0.6473065,0.009543741,0.03613072,0.004482112,0.0002464195,0.05948509],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9812384,"threshold_uncertainty_score":0.2302001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02191356501347867,"score_gpt":0.2083638361040293,"score_spread":0.1864502710905506,"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."}}