{"id":"W2790184679","doi":"","title":"2010 annotated canada labour code","year":2017,"lang":"en","type":"article","venue":"Books | Encyclopedia of Canadian Laws","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Code (set theory); Computer science; Programming language; Set (abstract data type)","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":[0.0009349301,0.001559839,0.001023005,0.009844133,0.01012271,0.007708245,0.00233155,0.001816604,0.3106507],"category_scores_gemma":[0.004356916,0.000927681,0.0007234105,0.02030301,0.001496651,0.00201121,0.001796501,0.002863551,0.1596779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0506204,"about_ca_system_score_gemma":0.1369557,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9743096,"about_ca_topic_score_gemma":0.9856334,"domain_scores_codex":[0.9977444,0.00009320962,0.00009622796,0.0002247504,0.001184068,0.0006573429],"domain_scores_gemma":[0.9962779,0.0001550015,0.00007713828,0.0001677261,0.003023397,0.0002987843],"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":[0.00001191603,0.000006815727,0.0001986293,0.00006174075,0.000001199157,0.00002159631,0.0001332083,0.00004949176,0.00002629307,0.005710762,0.9758989,0.01787953],"study_design_scores_gemma":[0.000001347694,0.000001410691,0.0009095827,0.00004982488,0.000001021625,0.000009099756,0.0002012632,0.00001641302,0.00002012084,0.0002729635,0.9985103,0.000006524716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00176338,0.005427915,0.0004833478,0.005468197,0.003225133,0.0002548317,0.1182008,0.0006912494,0.8644852],"genre_scores_gemma":[0.002244292,0.001909618,0.0003569945,0.0005876942,0.0000668651,0.00008257762,0.01605877,0.0002174622,0.9784757],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3106507,"threshold_uncertainty_score":0.9832731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02768665016119933,"score_gpt":0.2739902504797641,"score_spread":0.2463036003185647,"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."}}