{"id":"W6994380101","doi":"","title":"Canada","year":2022,"lang":"en","type":"book-chapter","venue":"Institutional Research Information System (Università degli Studi di Trento)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Government (linguistics); Identification (biology); Process (computing)","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":[0.0003054331,0.001021392,0.000582375,0.00210622,0.006041858,0.005974228,0.001161579,0.001744821,0.619108],"category_scores_gemma":[0.001391791,0.0005754706,0.0004172788,0.003632951,0.0008895209,0.001769209,0.001441195,0.001609245,0.3359791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01706114,"about_ca_system_score_gemma":0.02753235,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8406541,"about_ca_topic_score_gemma":0.945513,"domain_scores_codex":[0.999329,0.00002733191,0.00001431537,0.0001408554,0.0003458855,0.0001427386],"domain_scores_gemma":[0.9986969,0.00008126938,0.00003053665,0.00008737294,0.0009050441,0.000198966],"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":[0.00002805615,0.00001999301,0.0003927435,0.00009561091,0.000004470336,0.0001029134,0.000111768,0.0001290549,0.0002188996,0.02223273,0.9081808,0.06848297],"study_design_scores_gemma":[0.000003088819,0.000002006895,0.0003181718,0.00003499178,0.000001609827,0.00001851541,0.00009862569,0.00004951659,0.0000853395,0.0008664328,0.9985177,0.000004016009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004054518,0.001003385,0.0003692628,0.001368117,0.000331693,0.00003380871,0.00480009,0.0003230892,0.9913651],"genre_scores_gemma":[0.001008948,0.0003821977,0.0001751602,0.0002465537,0.00001248239,0.000008663538,0.000811832,0.00008070529,0.9972735],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.619108,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08777663721262603,"score_gpt":0.2898220282865767,"score_spread":0.2020453910739507,"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."}}