{"id":"W7052388841","doi":"","title":"Release: How to effectively use big data, learning about Indigenous spaces, and the fight for equity in Canada's labour movement - Congress 2018: June 1 highlights","year":2018,"lang":"en","type":"other","venue":"oURspace (University of Regina)","topic":"Electrostatic Discharge in Electronics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Diafiltration; Liquation; Emperipolesis; Triacetin; Proteogenomics","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":[0.0131542,0.0006613595,0.000521268,0.001994686,0.01526786,0.02207633,0.002237716,0.003560086,0.04687332],"category_scores_gemma":[0.03054538,0.0004869681,0.0005907366,0.003905777,0.007521487,0.007247296,0.008865755,0.005851924,0.007469398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0349924,"about_ca_system_score_gemma":0.194978,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9528418,"about_ca_topic_score_gemma":0.9799472,"domain_scores_codex":[0.990062,0.00104597,0.0002907413,0.0004654791,0.005522361,0.002613472],"domain_scores_gemma":[0.9742985,0.005079041,0.0005125297,0.001729969,0.01220372,0.006176131],"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":[0.00002523637,0.00002314508,0.002150136,0.0001448314,0.00001140459,0.00007404209,0.005534692,0.0001317385,0.0002689275,0.01458626,0.9215673,0.05548231],"study_design_scores_gemma":[0.000007033743,0.000007291141,0.005070256,0.0002450873,0.000004913876,0.00001981048,0.007957258,0.00008458272,0.0001606884,0.002336997,0.9840744,0.00003158482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01701525,0.009234487,0.005744495,0.6234362,0.01225701,0.0007882048,0.01776947,0.001678556,0.3120763],"genre_scores_gemma":[0.1293417,0.01415189,0.01277587,0.1060663,0.00320198,0.0006447314,0.01167153,0.002523152,0.7196229],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04715818,"threshold_uncertainty_score":0.2538888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415998124125432,"score_gpt":0.2162590360903263,"score_spread":0.202099054849072,"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."}}