{"id":"W6931386768","doi":"10.5281/zenodo.4892127","title":"Editorial Solidarity and Hope","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Education and Society","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Solidarity; Confusion; Pandemic; Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Anxiety","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":[0.003440366,0.002575593,0.002170861,0.002729438,0.00417931,0.009660773,0.002878441,0.01086642,0.03213902],"category_scores_gemma":[0.02979163,0.0007841124,0.001375085,0.001120742,0.004103856,0.005933594,0.002453572,0.01726878,0.01672866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002933855,"about_ca_system_score_gemma":0.003477297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001678928,"about_ca_topic_score_gemma":0.002568116,"domain_scores_codex":[0.9962991,0.0006380866,0.0003116344,0.0005076685,0.001853943,0.0003895883],"domain_scores_gemma":[0.9724965,0.0128661,0.001023609,0.000918258,0.008342771,0.004352819],"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":[0.00001050762,0.00000502591,0.00001578292,0.0001249569,0.000002631635,0.00004856248,0.00003038079,0.000008858632,0.00001948934,0.0005511089,0.995449,0.00373366],"study_design_scores_gemma":[0.0000132237,0.00001598483,0.0001086783,0.0003724827,0.000007590755,0.0001855406,0.0001074039,0.00003032175,0.00005295515,0.0008482316,0.9982473,0.00001028868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00004019704,0.004703612,0.00007307902,0.04320731,0.9484199,0.00001787711,0.00005841194,0.00003694036,0.003442575],"genre_scores_gemma":[0.0009786559,0.004930306,0.00005720821,0.01960624,0.9635818,0.0000250893,0.00003877551,0.00003282363,0.01074904],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03213902,"threshold_uncertainty_score":0.1075158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02327695914101417,"score_gpt":0.2491658807467318,"score_spread":0.2258889216057177,"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."}}