{"id":"W3207999717","doi":"10.5281/zenodo.2662490","title":"PARTHENOS D3.3 Foresight Study and Interdisciplinary Research Agenda","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Prairie Improvement Network","funders":"European Commission","keywords":"Futures studies; Political science; Engineering ethics; Sociology; Social science; Environmental ethics; Engineering; Computer science; Philosophy; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02086662,0.001291514,0.0005780961,0.002350606,0.00303241,0.008711071,0.001980539,0.004198229,0.151552],"category_scores_gemma":[0.01089427,0.0007408942,0.001181006,0.002189097,0.001477842,0.005535231,0.007454788,0.002926096,0.04959705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00831524,"about_ca_system_score_gemma":0.03997269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01484899,"about_ca_topic_score_gemma":0.009984885,"domain_scores_codex":[0.9929939,0.002260215,0.0003045146,0.0007740282,0.002229397,0.001438035],"domain_scores_gemma":[0.9875184,0.002119911,0.0004563565,0.001819687,0.004016774,0.004068914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000554771,0.0001021457,0.001089739,0.001537759,0.00002312191,0.0002633063,0.0008812515,0.0009978025,0.00166131,0.1945084,0.6684848,0.1298955],"study_design_scores_gemma":[0.0000250697,0.00004524124,0.0004493808,0.0003843899,0.000004671571,0.00004545999,0.0002777595,0.00009230312,0.0004756683,0.008903707,0.9892874,0.000008973211],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.007450073,0.01912959,0.02241127,0.09853561,0.01497489,0.003740444,0.01945114,0.002407088,0.8118999],"genre_scores_gemma":[0.06860221,0.01611288,0.04415569,0.01663145,0.002748368,0.005828519,0.02154401,0.002590059,0.8217869],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.151552,"threshold_uncertainty_score":0.506992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1210887862070045,"score_gpt":0.294292542187303,"score_spread":0.1732037559802985,"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."}}