{"id":"W3012194743","doi":"10.1007/s12079-020-00555-6","title":"What a long, strange trip it’s been","year":2020,"lang":"en","type":"article","venue":"Journal of Cell Communication and Signaling","topic":"Connective Tissue Growth Factor Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Data science; Medicine","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":[0.007971201,0.001198816,0.001057667,0.001312423,0.008167745,0.01103334,0.001475492,0.007786244,0.02281824],"category_scores_gemma":[0.02899582,0.0003830777,0.001185049,0.001062399,0.010239,0.0133853,0.003309414,0.01993253,0.01025695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003657121,"about_ca_system_score_gemma":0.006424272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009382475,"about_ca_topic_score_gemma":0.01196765,"domain_scores_codex":[0.995364,0.00171007,0.0002017059,0.0005901091,0.001264075,0.0008700296],"domain_scores_gemma":[0.9811368,0.002739925,0.0009361057,0.00134041,0.007899567,0.005947164],"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":[0.0002347351,0.0000904447,0.001866815,0.0003976692,0.0001095788,0.0008360756,0.002375258,0.0001244516,0.0009208439,0.02308194,0.9031698,0.06679233],"study_design_scores_gemma":[0.00004625745,0.0001210039,0.001521456,0.0008886333,0.00004384545,0.00142989,0.01477191,0.00006723402,0.0003838103,0.03305658,0.9475507,0.0001187306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002726776,0.02324384,0.001501605,0.8550763,0.1052297,0.00002295742,0.0003016864,0.000157245,0.01173979],"genre_scores_gemma":[0.05207851,0.02350934,0.004519381,0.7746256,0.05250863,0.0001150782,0.0004869414,0.0006107608,0.0915457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02281824,"threshold_uncertainty_score":0.0763346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05301166617132467,"score_gpt":0.3144439607995411,"score_spread":0.2614322946282164,"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."}}