{"id":"W4249390097","doi":"10.3410/f.733393607.793548888","title":"Faculty Opinions recommendation of Division of Labor during Biofilm Matrix Production.","year":2018,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Dental Education, Practice, Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Division (mathematics); Biofilm; Production (economics); Matrix (chemical analysis); Division of labour; Computer science; Business; Biology; Economics; Materials science; Mathematics; Political science; Microeconomics; Arithmetic; Composite material; Bacteria; Law; Genetics","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":[0.002232767,0.002318162,0.001631418,0.003147035,0.0008356084,0.003640901,0.002605604,0.002509898,0.1233773],"category_scores_gemma":[0.01293908,0.0007646989,0.001903259,0.003725284,0.0004142919,0.00199912,0.00233881,0.002026966,0.1654427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001512487,"about_ca_system_score_gemma":0.003671391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01952458,"about_ca_topic_score_gemma":0.0531219,"domain_scores_codex":[0.9981709,0.0002749322,0.0002293249,0.0005635116,0.0004792572,0.0002821091],"domain_scores_gemma":[0.9946517,0.001309808,0.0005820255,0.001233608,0.001460669,0.0007620925],"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":[0.00006308713,0.00001838104,0.0009683346,0.0004155737,0.00002026829,0.000007444323,0.000009418658,0.00006667162,0.00006421402,0.0001216223,0.9955344,0.002710651],"study_design_scores_gemma":[0.0002860976,0.00002286325,0.005378766,0.0004249518,0.0000511037,0.00004477112,0.00005084145,0.0005317366,0.0004858805,0.0008819203,0.9918114,0.00002960808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001439563,0.00009738498,0.0001189012,0.0001578826,0.0001014572,0.00002376834,0.9974396,0.0005902505,0.001326717],"genre_scores_gemma":[0.000667537,0.0001229881,0.0005399282,0.0001638734,0.00002879287,0.00009192944,0.9961857,0.0001414791,0.002057679],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1233773,"threshold_uncertainty_score":0.4127381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06283083923192373,"score_gpt":0.4959494150995351,"score_spread":0.4331185758676113,"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."}}