{"id":"W7164532683","doi":"10.14286/ladjuo","title":"DWROTAT2004","year":2004,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Tracking Network","funders":"","keywords":"Chinook wind; Adaptive management; Oncorhynchus; Dam removal; Habitat; Fish <Actinopterygii>; Restoration ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001184257,0.002401672,0.001327752,0.004079988,0.0008427335,0.003266189,0.002978367,0.001316319,0.1826217],"category_scores_gemma":[0.003506773,0.001203654,0.001608977,0.007022012,0.0003638477,0.003175643,0.002607571,0.002004342,0.3391813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001397627,"about_ca_system_score_gemma":0.002334078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03888731,"about_ca_topic_score_gemma":0.05008205,"domain_scores_codex":[0.9987395,0.00009740993,0.0001383901,0.0003536957,0.0004293032,0.000241704],"domain_scores_gemma":[0.9982407,0.0001246456,0.0001517461,0.0004500304,0.0008683163,0.0001645927],"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":[0.00005752039,0.00001633574,0.0003492828,0.0001339154,0.00001948724,0.00001117995,0.0000196173,0.0001046493,0.0002078784,0.0002681136,0.9928914,0.00592053],"study_design_scores_gemma":[0.0001054857,0.00001470798,0.002538698,0.00008296702,0.00001503149,0.00003033874,0.00005929923,0.0005998496,0.0006561145,0.0008695769,0.9949989,0.00002894396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003328248,0.0000709838,0.001063913,0.0001288269,0.000142872,0.00005682377,0.9685991,0.02053312,0.009071471],"genre_scores_gemma":[0.0006425179,0.00005800933,0.002383352,0.00008537315,0.00001708,0.00007262696,0.9874076,0.005311894,0.004021509],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8173783,"threshold_uncertainty_score":0.6109303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05380065370778694,"score_gpt":0.3591576718118477,"score_spread":0.3053570181040607,"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."}}