{"id":"W7039550785","doi":"","title":"New England Seeking to Tap Canadian Hydropower | Story ID: 22504","year":2014,"lang":"en","type":"other","venue":"","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"New england; Hydropower; Government (linguistics); Hydroelectricity","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005251034,0.0006780322,0.0003859243,0.001412638,0.009419844,0.004208274,0.001124131,0.00334291,0.4656952],"category_scores_gemma":[0.002283814,0.000291574,0.0004616683,0.001160491,0.001334693,0.001250122,0.002224689,0.002328031,0.08750404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01227222,"about_ca_system_score_gemma":0.03173028,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8699399,"about_ca_topic_score_gemma":0.9777653,"domain_scores_codex":[0.999496,0.00001819172,0.000006417232,0.0000325496,0.0002579407,0.000188884],"domain_scores_gemma":[0.998351,0.0001072973,0.00002809835,0.00005279868,0.0009074535,0.0005534146],"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":[0.00002089992,0.00001205857,0.0006079795,0.00005496453,0.000002058297,0.0001824119,0.0002404418,0.00004173608,0.0001113352,0.002637046,0.97932,0.0167689],"study_design_scores_gemma":[0.000004257032,0.000005139135,0.002350445,0.00008316615,0.000002290242,0.00005692349,0.0008511837,0.00005702782,0.0001132686,0.0005223623,0.995945,0.000008945809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002352654,0.001063701,0.0002693859,0.01235652,0.001732572,0.0001079322,0.005831221,0.0003880896,0.975898],"genre_scores_gemma":[0.005296455,0.0004386973,0.0001712456,0.001038535,0.0001029713,0.00001853301,0.0006063897,0.0001064099,0.9922208],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4656952,"threshold_uncertainty_score":0.762121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199783818134715,"score_gpt":0.2583431932657789,"score_spread":0.2363453550844317,"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."}}