{"id":"W4393706517","doi":"10.5281/zenodo.3598450","title":"Ministry of Environment of Québec (2011-2014) web archive collection derivatives","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Christian ministry; World Wide Web; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00162355,0.001414277,0.001236469,0.008055625,0.003987673,0.006305243,0.002020919,0.000910455,0.2292193],"category_scores_gemma":[0.007580562,0.0009115491,0.0008648291,0.01756749,0.0008973531,0.002129919,0.001733341,0.001940729,0.08337434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04015717,"about_ca_system_score_gemma":0.06264965,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9832348,"about_ca_topic_score_gemma":0.9872801,"domain_scores_codex":[0.9975345,0.0001009798,0.00009059563,0.0002346068,0.001760714,0.0002786537],"domain_scores_gemma":[0.9872113,0.0004021049,0.0002074683,0.0008274631,0.01056443,0.000787154],"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":[0.00003475105,0.00001533384,0.0009985013,0.0001743896,0.00001241531,0.000038513,0.0001075261,0.0001642348,0.0001866897,0.001748051,0.9729515,0.02356805],"study_design_scores_gemma":[0.000009325018,0.00000291988,0.004367588,0.00008549463,0.000007415922,0.00002418698,0.0001057802,0.0001284242,0.0002912907,0.0001607249,0.9947941,0.00002282292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001982471,0.001656487,0.00278049,0.001809835,0.0009100549,0.0002500793,0.7707698,0.00690703,0.2129337],"genre_scores_gemma":[0.01314496,0.002863539,0.008529254,0.0007593484,0.0001465154,0.0003186649,0.48081,0.005749373,0.4876783],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2292193,"threshold_uncertainty_score":0.7668149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02250622508433685,"score_gpt":0.2243741690386312,"score_spread":0.2018679439542944,"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."}}