{"id":"W6944732289","doi":"10.20383/102.0538","title":"Inventory of Canadian Repository Platforms - Inventaire de plateformes de dépôt canadiennes","year":2022,"lang":"fr","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Context (archaeology); Data collection; Quarter (Canadian coin)","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001285673,0.002219313,0.001304441,0.0134752,0.003176775,0.003784082,0.003814217,0.001204224,0.02419094],"category_scores_gemma":[0.008858556,0.0009202763,0.001407665,0.03025235,0.001047391,0.001608566,0.00264426,0.002017274,0.0292185],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0230885,"about_ca_system_score_gemma":0.03949661,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9478683,"about_ca_topic_score_gemma":0.9758214,"domain_scores_codex":[0.9969019,0.0001615267,0.0002079809,0.000543238,0.001536706,0.0006486471],"domain_scores_gemma":[0.9900109,0.0006794274,0.0006457654,0.001072699,0.006789627,0.0008016009],"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":[0.00007342536,0.00002082515,0.005101732,0.0006013477,0.00003963986,0.0000475089,0.000181815,0.0004268732,0.0002015668,0.001555239,0.983245,0.008505072],"study_design_scores_gemma":[0.00003172418,0.000007044317,0.02714309,0.0004302484,0.00002932122,0.0000571917,0.0005596085,0.0004361501,0.0005139514,0.000581599,0.9701372,0.00007268922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005974965,0.0001609917,0.0001103245,0.00006363152,0.00001590835,0.0000208012,0.9967758,0.000236723,0.002018279],"genre_scores_gemma":[0.001551856,0.0001840332,0.0006842567,0.00003174943,0.000005431128,0.00006618494,0.995446,0.00006987057,0.001960686],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9962159,"threshold_uncertainty_score":0.1675196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04152529038409994,"score_gpt":0.2785251663048877,"score_spread":0.2369998759207877,"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."}}