{"id":"W2080124154","doi":"10.1115/1.4028171","title":"“Where Are We Now and Where Are We Going?” The BioM Innovation Database","year":2014,"lang":"en","type":"article","venue":"Journal of Mechanical Design","topic":"Design Education and Practice","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Case Western Reserve University","keywords":"Exploit; Terminology; Computer science; Data science; Knowledge management; Database","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":[0.003226879,0.0006900224,0.0008320152,0.008519097,0.0008978242,0.004381923,0.001852373,0.001959052,0.03432025],"category_scores_gemma":[0.01949961,0.0004006928,0.000630338,0.01118237,0.0006157192,0.004691636,0.002136406,0.001331391,0.02013813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001346314,"about_ca_system_score_gemma":0.00291892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007166628,"about_ca_topic_score_gemma":0.007372941,"domain_scores_codex":[0.9979042,0.0004018542,0.000467169,0.000272284,0.0008207333,0.0001338596],"domain_scores_gemma":[0.9877754,0.005885352,0.001251882,0.001903826,0.002463028,0.000720409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000324386,0.0001171967,0.009195705,0.003221483,0.00007374785,0.0002716925,0.001403861,0.003196292,0.001686091,0.08662672,0.6085038,0.2853791],"study_design_scores_gemma":[0.00001735885,0.00001786604,0.002036455,0.0002911229,0.00001597725,0.0001092431,0.0003411591,0.0008963082,0.0005786192,0.01072173,0.9849496,0.00002447738],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02026838,0.01151302,0.08464865,0.006846055,0.0006506559,0.0004486046,0.6883143,0.01077896,0.1765314],"genre_scores_gemma":[0.07465412,0.01134653,0.09671635,0.003000957,0.0002500304,0.001132983,0.7678067,0.002140197,0.04295211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03432025,"threshold_uncertainty_score":0.1148127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05948834541393337,"score_gpt":0.2909646444627508,"score_spread":0.2314762990488174,"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."}}