{"id":"W4412196901","doi":"10.59350/pkp.9343","title":"Canadian Research Knowledge Network (CRKN) and Public Knowledge Project (PKP) Extend Partnership","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Knowledge management; Computer science; Business; Finance","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":[0.01626356,0.001256821,0.001590605,0.007531282,0.0118239,0.02044065,0.003749216,0.003886183,0.2475106],"category_scores_gemma":[0.05392173,0.001124231,0.001102193,0.01808806,0.003999655,0.009322154,0.009220989,0.00438808,0.1139544],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06972201,"about_ca_system_score_gemma":0.3054108,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.92272,"about_ca_topic_score_gemma":0.9056112,"domain_scores_codex":[0.9709991,0.002465288,0.0009512442,0.002451108,0.01985418,0.003279089],"domain_scores_gemma":[0.906414,0.006214625,0.001837959,0.01043982,0.05796622,0.01712735],"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":[0.00003730711,0.00001891981,0.0004098053,0.0001325805,0.000008808295,0.00003395546,0.0003630292,0.00008521605,0.0001139742,0.03705575,0.917038,0.04470268],"study_design_scores_gemma":[0.000005218591,0.000002482673,0.000447336,0.00006100211,0.000003979738,0.00001140319,0.0002495306,0.00008076951,0.0001124997,0.001557036,0.997458,0.00001068617],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001396523,0.003987391,0.009630351,0.08154301,0.003620972,0.0006766312,0.06304322,0.004259663,0.8318422],"genre_scores_gemma":[0.01764009,0.004145532,0.02037212,0.005941493,0.0003174896,0.0004640899,0.03247339,0.00300598,0.9156398],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9795594,"threshold_uncertainty_score":0.8280054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5670600728656325,"score_gpt":0.501460910427603,"score_spread":0.06559916243802955,"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."}}