{"id":"W2611377014","doi":"","title":"Methods for Enabling Innovation Learning","year":2018,"lang":"en","type":"article","venue":"","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Construct (python library); Affect (linguistics); Cognition; Process (computing); Psychology; Knowledge management; Computer science","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":[0.01126177,0.0009645536,0.0007485924,0.003509205,0.001936665,0.006964844,0.00278865,0.002484301,0.06348335],"category_scores_gemma":[0.02129234,0.0005833157,0.00154139,0.003038189,0.004257242,0.007670809,0.009494853,0.003217373,0.01385461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002261143,"about_ca_system_score_gemma":0.00357584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008993187,"about_ca_topic_score_gemma":0.001151387,"domain_scores_codex":[0.9897581,0.004735359,0.0006898486,0.001077181,0.003218104,0.0005212592],"domain_scores_gemma":[0.9874309,0.00595135,0.0006489035,0.004426155,0.0009978213,0.0005447539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000238839,0.00006596481,0.0004556758,0.0005382914,0.00003081056,0.00008904991,0.001021721,0.001142918,0.0006634313,0.8318529,0.01261894,0.1514964],"study_design_scores_gemma":[0.00003396284,0.00008155696,0.0004109085,0.0004944109,0.00001758638,0.0001560838,0.0005572169,0.002195411,0.001277146,0.4350539,0.5596942,0.00002758509],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005332811,0.005104086,0.5170814,0.01000242,0.001618011,0.001623463,0.001058405,0.002288374,0.455891],"genre_scores_gemma":[0.1843094,0.008344425,0.644428,0.003164179,0.0009236,0.00631166,0.001764585,0.0008663074,0.1498879],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06348335,"threshold_uncertainty_score":0.212373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08553743429861305,"score_gpt":0.4213441057763935,"score_spread":0.3358066714777805,"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."}}