{"id":"W3084071154","doi":"","title":"Call for Papers: Digital Innovations in the Bioeconomy","year":2020,"lang":"en","type":"paratext","venue":"Technology Innovation Management Review","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003991825,0.002170688,0.002314784,0.003483957,0.001601196,0.01291189,0.002669444,0.0142283,0.5712168],"category_scores_gemma":[0.02153891,0.0005670087,0.001596379,0.003794966,0.001107302,0.007538131,0.003104787,0.005826278,0.3955079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003779147,"about_ca_system_score_gemma":0.005094506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001832259,"about_ca_topic_score_gemma":0.004376102,"domain_scores_codex":[0.9977993,0.0003044684,0.0001369384,0.0002679935,0.001188181,0.0003031371],"domain_scores_gemma":[0.9792972,0.005133511,0.001733115,0.0006939612,0.006681708,0.006460523],"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":[0.00002082014,0.00001541957,0.00001209302,0.0001810271,0.000002643487,0.00001056285,0.000002444201,0.00002570334,0.00003104639,0.0006383335,0.9894218,0.009638066],"study_design_scores_gemma":[0.00006742503,0.0000441188,0.0004107974,0.000475294,0.000009876245,0.00002139852,0.00003179159,0.0001229107,0.00007849044,0.002812074,0.9959105,0.00001537208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0004117048,0.03545891,0.001225123,0.1478996,0.5119959,0.0006409143,0.007489054,0.001277755,0.293601],"genre_scores_gemma":[0.002245034,0.01190417,0.0005859906,0.02480398,0.07135679,0.0004917877,0.003382068,0.0006042435,0.884626],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5712168,"threshold_uncertainty_score":0.6116072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668298885776435,"score_gpt":0.2649301949023408,"score_spread":0.2382472060445764,"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."}}