{"id":"W3095510528","doi":"10.3917/herm.086.0283","title":"Software and Experience. A Phenomenological Analysis of Digital Technology","year":2020,"lang":"en","type":"article","venue":"Hermès","topic":"Embodied and Extended Cognition","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Humanities; Molecular biology; Philosophy; Biology","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":[0.004109824,0.000431402,0.0003591818,0.003517619,0.007633297,0.01144728,0.0008848002,0.002353639,0.003406065],"category_scores_gemma":[0.01150906,0.0003024822,0.0004143102,0.004400564,0.03634277,0.0148841,0.007379079,0.003094707,0.0003043317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005736504,"about_ca_system_score_gemma":0.003711112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009394658,"about_ca_topic_score_gemma":0.006980223,"domain_scores_codex":[0.9914533,0.006553821,0.000182651,0.000330266,0.0009688931,0.000511076],"domain_scores_gemma":[0.9917445,0.006558809,0.0004714702,0.0003826742,0.0003682797,0.0004743231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001511108,0.00001354181,0.0007275451,0.00008919731,0.000002926252,0.0002081778,0.8383574,0.0001023699,0.0001645168,0.1524338,0.001076333,0.006808884],"study_design_scores_gemma":[0.000007881617,0.00003155357,0.0009888591,0.0003101939,0.000003926263,0.0003094479,0.8333144,0.0001971942,0.0001028067,0.0360336,0.1286786,0.00002155942],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4843094,0.01558659,0.02214173,0.03205794,0.0007994043,0.0001671815,0.0002909871,0.000083016,0.4445637],"genre_scores_gemma":[0.9843961,0.002935336,0.001295453,0.001177284,0.0000630014,0.00008786456,0.00003219438,0.00003729866,0.009975353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01144728,"threshold_uncertainty_score":0.04162139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06175029131459782,"score_gpt":0.2748303269550176,"score_spread":0.2130800356404198,"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."}}