{"id":"W7055058015","doi":"","title":"Canada’s Legal Pasts: Looking Forward, Looking Back","year":2020,"lang":"en","type":"book","venue":"Directory of Open access Books (OAPEN Foundation)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Variety (cybernetics); Newspaper; Listing (finance); Legal history; Reading (process); Legal advice; Legal profession","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":[0.002186093,0.0007279204,0.0006867785,0.007066335,0.0370824,0.02172432,0.002178165,0.003131428,0.02620239],"category_scores_gemma":[0.006636487,0.0007232585,0.0005884256,0.0163818,0.01288334,0.008915188,0.003171599,0.005159569,0.002376838],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2327872,"about_ca_system_score_gemma":0.300799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939473,"about_ca_topic_score_gemma":0.9976143,"domain_scores_codex":[0.9956487,0.000417087,0.0001045406,0.0003086719,0.002395177,0.001125832],"domain_scores_gemma":[0.9945832,0.0006897115,0.0001981824,0.0001551465,0.003033006,0.001340768],"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":[0.00001323819,0.00001309217,0.001174104,0.000284277,0.000008193246,0.000280182,0.03462227,0.0001348432,0.0001117872,0.1905518,0.71371,0.05909616],"study_design_scores_gemma":[0.000001164321,0.000001639625,0.001044839,0.0002922505,0.000004561539,0.00005385975,0.01087904,0.00003205448,0.00002526608,0.003009128,0.9846385,0.00001769297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01112397,0.1496835,0.002646428,0.2750293,0.01084998,0.0001177787,0.003560259,0.0003042537,0.5466844],"genre_scores_gemma":[0.2638313,0.1648708,0.008716294,0.03969533,0.002476433,0.0001754512,0.002906674,0.0008206567,0.5165071],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2327872,"threshold_uncertainty_score":0.8898581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03765893712229434,"score_gpt":0.3402672614560665,"score_spread":0.3026083243337722,"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."}}