{"id":"W6968897692","doi":"10.5281/zenodo.4090433","title":"OpenAIRE Week: General Assembly: A user journey in OpenAIRE PROVIDE services and interoperability guidelines implementation","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Optics and Image Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"European Commission","keywords":"Interoperability; Session (web analytics); Dashboard; Event (particle physics); Public access; WS-I Basic Profile","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005982625,0.0001431168,0.0001785697,0.0001887783,0.0007431646,0.00298901,0.0005860688,0.00003326256,0.003092354],"category_scores_gemma":[0.0003019131,0.0001346885,0.00004149745,0.0006453256,0.0000448649,0.001938073,0.001577546,0.0001519797,0.001005132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004719488,"about_ca_system_score_gemma":0.000003594628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006682091,"about_ca_topic_score_gemma":0.00005506415,"domain_scores_codex":[0.9986377,0.00006897699,0.0003876967,0.0004095131,0.0002441774,0.0002519774],"domain_scores_gemma":[0.9987866,0.000004912129,0.0001442801,0.0002052472,0.0008102622,0.00004867846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004031862,0.0004969324,0.008300731,0.001667971,0.0002610159,0.00009104198,0.003596166,0.0004944892,0.02278123,0.008906879,0.3679401,0.5850602],"study_design_scores_gemma":[0.0008321558,0.00006762637,0.009062685,0.00004780562,0.00003931672,0.000006183561,0.002057513,0.02244059,0.0001365369,0.000116552,0.9649704,0.0002226394],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647164,0.0001278596,0.000524089,0.02291491,0.0000544143,0.0006447354,0.00002894441,0.0002874378,0.01070121],"genre_scores_gemma":[0.993974,0.00009595984,0.0003991059,0.003882352,0.0004467088,1.311176e-7,0.0006359805,0.0004269393,0.0001387962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5970303,"threshold_uncertainty_score":0.9997727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07030257502442525,"score_gpt":0.2953359820012679,"score_spread":0.2250334069768426,"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."}}