{"id":"W4234934940","doi":"10.1515/iupac.83.0433","title":"Plate Gripper","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Process (computing); Context (archaeology); Field (mathematics); Computer science; Multidisciplinary approach; Data science; Component (thermodynamics); Management science; Engineering; Sociology; Biology; Linguistics; Mathematics","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":[0.001298908,0.003182242,0.001925289,0.002770785,0.00116344,0.002861625,0.005365062,0.001862808,0.07322723],"category_scores_gemma":[0.004623828,0.0008120508,0.001879054,0.004415489,0.0005982033,0.00218063,0.002866001,0.00274627,0.1961446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001512761,"about_ca_system_score_gemma":0.002286206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01571979,"about_ca_topic_score_gemma":0.03557158,"domain_scores_codex":[0.9984806,0.0002143868,0.0002042572,0.0004621955,0.0004293987,0.0002091359],"domain_scores_gemma":[0.9976826,0.0004099628,0.0002296279,0.0008615652,0.0006046804,0.0002115972],"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":[0.0001543989,0.0000405986,0.001033419,0.0005690456,0.00002498859,0.000024921,0.00002168379,0.0003286724,0.0001459858,0.0006172865,0.9918372,0.005201811],"study_design_scores_gemma":[0.0001991649,0.00004207379,0.004496432,0.0003243389,0.0000277964,0.0001349417,0.0001060724,0.001009145,0.001044419,0.002438034,0.9901294,0.00004816318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003918409,0.0001276915,0.0003976404,0.00007905188,0.00005016311,0.00004568645,0.9941179,0.0021825,0.002607531],"genre_scores_gemma":[0.0006012151,0.00008503871,0.0007336551,0.00007386847,0.000007604222,0.0001157905,0.9970111,0.0001815017,0.00119023],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07322723,"threshold_uncertainty_score":0.2449695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01975425015345684,"score_gpt":0.4236747497371666,"score_spread":0.4039204995837098,"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."}}