{"id":"W7006710089","doi":"","title":"Wind-power investment grows during second quarter and deliveres what voters want","year":2016,"lang":"en","type":"other","venue":"","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Investment (military); Government (linguistics); Work (physics)","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":[0.001042313,0.0004960735,0.0002799114,0.001003251,0.001060081,0.003372175,0.0004993692,0.001262665,0.3411062],"category_scores_gemma":[0.002200632,0.0002252395,0.0003284634,0.000899446,0.000504682,0.001828826,0.001229258,0.001463989,0.1355751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424613,"about_ca_system_score_gemma":0.001779982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003957732,"about_ca_topic_score_gemma":0.0262945,"domain_scores_codex":[0.9995465,0.00003198992,0.00001066217,0.00005205337,0.0002739398,0.00008488566],"domain_scores_gemma":[0.9985619,0.000134827,0.00008391733,0.000123123,0.0004463751,0.0006498598],"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":[0.0001175915,0.00006826275,0.001560226,0.000100353,0.000004373215,0.00009714565,0.0001210153,0.0001925646,0.001762361,0.01460222,0.8240935,0.1572803],"study_design_scores_gemma":[0.00001044408,0.00001591602,0.002076999,0.0000490734,0.000001998062,0.00005177982,0.0001031424,0.0001836225,0.000768041,0.002075001,0.9946588,0.0000052436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003477315,0.0007859314,0.002714981,0.006519136,0.001295396,0.00006918693,0.003358797,0.001956173,0.9798231],"genre_scores_gemma":[0.00871308,0.0005352356,0.001401097,0.0005549931,0.0001986053,0.0000301023,0.001756851,0.0007099123,0.9861],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3411062,"threshold_uncertainty_score":0.939832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003072777046934977,"score_gpt":0.2187321691656457,"score_spread":0.2156593921187107,"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."}}