{"id":"W7133273378","doi":"","title":"Canada’s space sector industry snapshot 2023","year":2024,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snapshot (computer storage); Space (punctuation); Space industry; Private sector; Information technology; Secondary sector of the economy","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":[0.001145,0.001076962,0.0007526051,0.008799543,0.004625989,0.005661577,0.001672765,0.001002132,0.06808755],"category_scores_gemma":[0.005394723,0.000732474,0.000806751,0.02512752,0.0005013319,0.001575521,0.001758697,0.001720292,0.024291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05014956,"about_ca_system_score_gemma":0.215687,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953558,"about_ca_topic_score_gemma":0.9963981,"domain_scores_codex":[0.9964389,0.00006100438,0.00009586021,0.0001598134,0.002403944,0.0008405804],"domain_scores_gemma":[0.985419,0.0002020743,0.0002619741,0.0002350967,0.0124126,0.001469283],"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":[0.00003521842,0.00001084453,0.001167099,0.0001681477,0.000009523344,0.00002436839,0.00005974115,0.0001197591,0.00004784459,0.001149421,0.9888939,0.008314219],"study_design_scores_gemma":[0.00001990199,0.000006709319,0.01779274,0.0002161261,0.00001440706,0.0000215271,0.0003238813,0.0001985739,0.0002102864,0.000300201,0.9808631,0.00003255894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001492096,0.0008863166,0.0002165879,0.002159247,0.0003503525,0.0001160254,0.9278609,0.0006484635,0.06627002],"genre_scores_gemma":[0.01686053,0.003512591,0.002813324,0.001703262,0.0001258077,0.0002265672,0.8219124,0.0005892199,0.1522564],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06808755,"threshold_uncertainty_score":0.3638622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198145228612936,"score_gpt":0.2410419277728811,"score_spread":0.2290604754867517,"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."}}