{"id":"W3006482256","doi":"10.1089/bio.2019.0095","title":"Enhancing Cooperation Between Academic Biobanks and Biomedical Industry: Better Mutual Understanding and New Collaborative Models Are Needed","year":2020,"lang":"en","type":"article","venue":"Biopreservation and Biobanking","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Société de Transport de Montréal","funders":"National Cancer Institute","keywords":"Biobank; Library science; Medicine; Computer science; Bioinformatics; Biology","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3013249,0.001261555,0.002438728,0.003743587,0.01218606,0.04374682,0.007806669,0.0197777,0.01608759],"category_scores_gemma":[0.3130104,0.00156115,0.001846371,0.003241442,0.02185262,0.05990218,0.04603789,0.023129,0.004550898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01685303,"about_ca_system_score_gemma":0.09155489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003188383,"about_ca_topic_score_gemma":0.004131794,"domain_scores_codex":[0.6146945,0.3271107,0.01029862,0.008765862,0.0276718,0.01145861],"domain_scores_gemma":[0.303125,0.4609019,0.05150353,0.0306646,0.05928643,0.09451855],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000368922,0.0013376,0.0167827,0.003512269,0.0006088035,0.001176503,0.0612047,0.002435515,0.00197952,0.4498767,0.1505368,0.3101799],"study_design_scores_gemma":[0.0002103499,0.0003133408,0.009305296,0.004964073,0.0001232168,0.0006374142,0.07465127,0.003531592,0.0007343641,0.6336949,0.2715106,0.0003235393],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01413094,0.01069402,0.06939282,0.8779152,0.003072255,0.0004741424,0.00005466258,0.0002720862,0.02399394],"genre_scores_gemma":[0.6111372,0.01744192,0.1585905,0.1872931,0.007399253,0.002596106,0.0004532185,0.0003775719,0.0147111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6986752,"threshold_uncertainty_score":0.8615908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.659434404752286,"score_gpt":0.4919505476394957,"score_spread":0.1674838571127902,"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."}}