{"id":"W7015330747","doi":"","title":"Schneider's Creek/Grand River Northern Pike Annual Fish Lift","year":2007,"lang":"en","type":"article","venue":"ScholarWorks@UMassAmherst (University of Massachusetts Amherst)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pike; Tributary; Fishing; Levee; Fish <Actinopterygii>; Lift (data mining)","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":[0.0001741042,0.0001265838,0.0001456129,0.0003351705,0.0008184996,0.0002535458,0.0001680293,0.00008889416,0.007059726],"category_scores_gemma":[0.0001790664,0.0001221,0.00008594876,0.000258778,0.0002190802,0.0001575064,0.0004276961,0.0001519194,0.001028985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009598274,"about_ca_system_score_gemma":0.001328082,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2421235,"about_ca_topic_score_gemma":0.6828031,"domain_scores_codex":[0.9998339,0.000008702406,0.000006908662,0.00003740876,0.00007505046,0.0000378854],"domain_scores_gemma":[0.9998305,0.000007191463,0.00003836879,0.000009506447,0.00005852646,0.00005583936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002354608,0.0001601845,0.8977193,0.00006421452,0.00005842472,0.0004741169,0.0008652358,0.0001429138,0.01753315,0.0002101877,0.01321931,0.0693175],"study_design_scores_gemma":[0.00000473108,0.00005585573,0.9954875,0.000002966904,0.000006830524,0.00008087429,0.0002333594,0.0000715296,0.000396312,0.00000927449,0.003647977,0.000002855424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856564,0.00007726764,0.0002593072,0.00009399871,0.00001228359,0.00002809543,0.0006188634,0.0000551931,0.01319853],"genre_scores_gemma":[0.9744483,0.0001517924,0.001438518,0.0001008678,0.000009713514,0.00003420745,0.001199397,0.00001661763,0.02260055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7578765,"threshold_uncertainty_score":0.4814283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007032171758094374,"score_gpt":0.1873655649110294,"score_spread":0.1803333931529351,"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."}}