{"id":"W4245560562","doi":"10.37536/ecozona.2019.10.2.3361","title":"Whole Issue","year":2019,"lang":"en","type":"article","venue":"Ecozon European Journal of Literature Culture and Environment","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001652326,0.001176311,0.001259655,0.0040041,0.00226139,0.01085897,0.001711183,0.003819664,0.7750235],"category_scores_gemma":[0.01071828,0.0006347897,0.0009825981,0.002746714,0.001072385,0.004977887,0.004245186,0.002985313,0.7001194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001178107,"about_ca_system_score_gemma":0.004303767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001734946,"about_ca_topic_score_gemma":0.003026731,"domain_scores_codex":[0.9981287,0.0001710897,0.00009760767,0.0002513256,0.00112958,0.0002217568],"domain_scores_gemma":[0.9905286,0.0008408186,0.0004432776,0.001029246,0.004393612,0.002764357],"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":[0.00001188831,0.00001943253,0.00005659744,0.0000992993,0.000002652222,0.000017346,0.00001401874,0.00001263329,0.0001135116,0.0006943755,0.9675469,0.03141132],"study_design_scores_gemma":[0.000005571356,0.000007364494,0.0002091697,0.00005547194,0.000002142458,0.00001719608,0.00002861579,0.00001621175,0.000049815,0.0005184035,0.9990866,0.000003428618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004176471,0.003752191,0.0008082576,0.01963069,0.1281549,0.0003103989,0.002350187,0.001871463,0.8427044],"genre_scores_gemma":[0.001457238,0.0014452,0.0002536253,0.004785787,0.0231247,0.00007461167,0.001429107,0.0006748588,0.9667549],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2249765,"threshold_uncertainty_score":0.3209017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004225160842719635,"score_gpt":0.1799602735063267,"score_spread":0.1757351126636071,"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."}}