{"id":"W4395051358","doi":"10.51952/9781529231212.ch001","title":"Dark Innovation","year":2024,"lang":"en","type":"book-chapter","venue":"Bristol University Press eBooks","topic":"Innovation, Sustainability, Human-Machine Systems","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008253207,0.000317777,0.0003631756,0.0006619484,0.0008389907,0.0001779599,0.0006405043,0.0005569492,0.00007776924],"category_scores_gemma":[0.00008748801,0.0004096311,0.000147487,0.0001007033,0.0006627559,0.0001952972,0.0002753134,0.000628859,0.00005407725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570296,"about_ca_system_score_gemma":0.0007809298,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007628334,"about_ca_topic_score_gemma":0.001169136,"domain_scores_codex":[0.9978641,0.0001070386,0.0003941279,0.0005988769,0.000693541,0.0003422665],"domain_scores_gemma":[0.9978026,0.00007598038,0.0003775468,0.0004994645,0.001168074,0.00007638232],"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":[0.00002032921,0.000007259965,0.000007630951,0.0002024159,0.00007965005,0.0001070827,0.00426761,0.00000213504,0.000002797398,0.9682949,0.02564252,0.001365695],"study_design_scores_gemma":[0.0001476582,0.00001870564,0.000009091306,0.0001388904,0.00009106351,0.000002059643,0.001117028,0.000007236943,0.000003170798,0.05038956,0.947691,0.0003845253],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001755501,0.0001028409,0.0002085785,0.0001886092,0.000985934,0.000923825,0.00008558777,0.0004383477,0.9968907],"genre_scores_gemma":[0.02572983,0.00001194627,0.00004218117,0.00004988057,0.0005880654,0.000001645219,0.00008593493,0.00005397145,0.9734365],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9220485,"threshold_uncertainty_score":0.9998356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03359479374628391,"score_gpt":0.2713548659951499,"score_spread":0.237760072248866,"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."}}