{"id":"W6964444300","doi":"10.25318/3310019701-eng","title":"Personnel employed outside Canada in core and support business activities, by businesses that are not an affiliate of a foreign parent, by industry and enterprise size","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Core (optical fiber); Distribution (mathematics); Production (economics); Small business; Falling (accident); Core competency","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":[0.0009268108,0.001764805,0.001474545,0.008104322,0.002017721,0.003007605,0.003175314,0.001060208,0.03019482],"category_scores_gemma":[0.00838916,0.0008952965,0.00116198,0.02317484,0.0006335238,0.001213234,0.001758985,0.002001538,0.02128923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01723307,"about_ca_system_score_gemma":0.03499335,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9492439,"about_ca_topic_score_gemma":0.9605644,"domain_scores_codex":[0.9981469,0.00008143218,0.0002247013,0.0003332526,0.0007703178,0.0004435101],"domain_scores_gemma":[0.9926226,0.0006374832,0.0008229502,0.0004120926,0.004905478,0.0005993397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004122525,0.00001305574,0.005209527,0.0004793887,0.00003599281,0.00002090422,0.00004505865,0.0002220053,0.00003086581,0.0007029335,0.9909866,0.002212376],"study_design_scores_gemma":[0.0001248744,0.000009130635,0.04481914,0.0006320018,0.00005447372,0.00003787601,0.0004015861,0.0003780754,0.0002295151,0.0004336479,0.9528407,0.00003897486],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002045779,0.00008377544,0.00002570899,0.00006069822,0.00001685145,0.00001087414,0.9987796,0.00003993992,0.000777983],"genre_scores_gemma":[0.001406287,0.0002229224,0.000166233,0.00005927454,0.000009618615,0.00007070324,0.9952127,0.00002220988,0.002830084],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0507561,"threshold_uncertainty_score":0.1250352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02023934974109542,"score_gpt":0.2814824138336393,"score_spread":0.2612430640925438,"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."}}