{"id":"W4230519316","doi":"10.1007/978-94-024-1202-4_16-1","title":"Big Capta?","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Conceptualization; Objectification; Big data; Epistemology; Computer science; Data science; Engineering ethics; Engineering; Philosophy; Artificial intelligence; Data mining","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":[0.001182979,0.001016362,0.000481568,0.001407664,0.004802999,0.01156492,0.001308343,0.003231692,0.1647225],"category_scores_gemma":[0.004319995,0.0004221164,0.000436818,0.001569299,0.004505917,0.01517368,0.00522971,0.00560305,0.04575516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003563406,"about_ca_system_score_gemma":0.003799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006937541,"about_ca_topic_score_gemma":0.01624099,"domain_scores_codex":[0.9991689,0.0002218874,0.00001713123,0.0001532986,0.0002836779,0.0001550695],"domain_scores_gemma":[0.9990116,0.0002280629,0.00003655798,0.0002222029,0.0002782446,0.0002233184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000932441,0.0000157683,0.00007277425,0.00006197245,0.000003180438,0.00003615015,0.0008246254,0.0000588781,0.00005972174,0.4825634,0.46685,0.04944436],"study_design_scores_gemma":[0.000001644801,0.000002199017,0.0000502496,0.00008731609,0.000001358373,0.0000213725,0.0003761355,0.00004829867,0.00003686165,0.05575117,0.9436198,0.000003491371],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004326363,0.003598495,0.001723558,0.02151639,0.003359832,0.00002260421,0.0001238934,0.0002250624,0.9689977],"genre_scores_gemma":[0.02014728,0.003919924,0.001793736,0.01428957,0.002463598,0.0001150365,0.0002675206,0.0006461007,0.9563574],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1647225,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0272525280126729,"score_gpt":0.2555331618743134,"score_spread":0.2282806338616405,"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."}}