{"id":"W3068500650","doi":"10.1007/978-3-030-53713-5_1","title":"How We Got Here","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Terminology; Field (mathematics); Public opinion; Rest (music); Management science; Political science; Epistemology; Data science; History; Engineering ethics; Computer science; Engineering; Law; Philosophy; Linguistics; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004003331,0.0003332543,0.0003108783,0.0001300508,0.0000748016,0.0005026009,0.0003528824,0.0001547868,0.008710895],"category_scores_gemma":[0.0000315005,0.0002921903,0.0002062361,0.00005222171,0.0000554494,0.0003549766,0.0003469926,0.0002890944,0.01855384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002015965,"about_ca_system_score_gemma":0.00001921955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001859864,"about_ca_topic_score_gemma":0.0001614828,"domain_scores_codex":[0.9990307,0.000001009145,0.0001726655,0.0004132358,0.000208629,0.0001737538],"domain_scores_gemma":[0.9993641,0.00002851193,0.0001471126,0.0002426457,0.0002026412,0.00001498762],"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":[0.000005968535,0.000005445224,0.0000166942,0.0001819201,0.00003281221,0.00004441695,0.000004230447,8.360742e-8,0.000008262734,0.8994532,0.07734986,0.02289714],"study_design_scores_gemma":[0.00005027944,0.000006040995,0.000003662118,0.0001854532,0.00004980249,0.000001016394,0.00004804396,0.00008326049,0.00002036514,0.07636951,0.9228274,0.0003551188],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00000116677,0.001028185,0.0007761246,0.01288915,0.0005673584,0.0001701957,0.000003801415,0.000216791,0.9843472],"genre_scores_gemma":[0.006415686,0.0001885618,0.00005144193,0.002649962,0.005286143,0.000004628198,0.00003649076,0.0000686225,0.9852985],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8454776,"threshold_uncertainty_score":0.999953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04290069536062906,"score_gpt":0.2194551947009399,"score_spread":0.1765544993403109,"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."}}