{"id":"W7047049248","doi":"","title":"Feature Story: RoadMAP for Regina","year":2018,"lang":"en","type":"other","venue":"oURspace (University of Regina)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feature (linguistics); Work (physics); Alcohol; Alcohol intake; Social responsibility","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":[0.001626526,0.000813857,0.0002663709,0.0005053551,0.005428441,0.004990361,0.001558986,0.003855646,0.1694958],"category_scores_gemma":[0.003248757,0.000286719,0.0005748604,0.0004121878,0.00104373,0.004162861,0.004511047,0.004975218,0.0658799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002431962,"about_ca_system_score_gemma":0.004937945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03963525,"about_ca_topic_score_gemma":0.06726266,"domain_scores_codex":[0.998962,0.0002151238,0.00002332239,0.0001678738,0.0002731516,0.0003584332],"domain_scores_gemma":[0.9986961,0.0001282072,0.0000367488,0.0001578179,0.0003999858,0.0005810392],"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":[0.00002382653,0.0000246748,0.0001553738,0.00003645656,0.000001558529,0.0002393538,0.0002313953,0.00004221543,0.00007869758,0.007931849,0.9729504,0.01828421],"study_design_scores_gemma":[0.000001755102,0.000004037356,0.0001353415,0.0000189502,5.959766e-7,0.00005980513,0.0002628093,0.000008851282,0.00003252256,0.0004428783,0.9990293,0.000003202355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004866932,0.004398024,0.001436942,0.1356518,0.02596637,0.0002088808,0.002563104,0.002320442,0.8225875],"genre_scores_gemma":[0.01991948,0.001963989,0.00139179,0.02450704,0.001210671,0.000162244,0.001415584,0.0009421586,0.948487],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9603648,"threshold_uncertainty_score":0.5670198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009815828346039215,"score_gpt":0.2215568752216189,"score_spread":0.2117410468755797,"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."}}