{"id":"W1621289032","doi":"10.51847/sfbrxt3","title":"10.51847/SFbrXt3","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Click Chemistry and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Data science; Library science; Computer science; Data mining","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":["insufficient_payload"],"category_scores_codex":[0.000835226,0.002057866,0.001293786,0.002755667,0.001312125,0.003297403,0.001470022,0.002821106,0.9654245],"category_scores_gemma":[0.001039758,0.0007556396,0.0009539294,0.001967885,0.0008254247,0.001695828,0.002460151,0.001534238,0.9814108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205843,"about_ca_system_score_gemma":0.0007078447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00238735,"about_ca_topic_score_gemma":0.002046372,"domain_scores_codex":[0.9994884,0.00002259219,0.00003332051,0.0001525273,0.0002152125,0.00008794061],"domain_scores_gemma":[0.9992672,0.0001048933,0.00003946401,0.0001362144,0.0001549798,0.0002973126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000376161,0.0002127695,0.0004558705,0.000413094,0.00002616324,0.0002622183,0.00006030802,0.0001911474,0.01315584,0.004730453,0.4583866,0.5217294],"study_design_scores_gemma":[0.0000448336,0.00005145029,0.0007132733,0.0001008586,0.000009951623,0.0002952664,0.00002507932,0.0001331121,0.002015961,0.0006120318,0.9959862,0.0000120955],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001193738,0.001584658,0.002236697,0.001076474,0.001263555,0.000126658,0.006941606,0.005177089,0.9803996],"genre_scores_gemma":[0.002289804,0.000589082,0.0007662568,0.0002668253,0.0001101964,0.00004782099,0.003710307,0.0005371816,0.9916825],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03457552,"threshold_uncertainty_score":0.04931778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006829800936605479,"score_gpt":0.1956448700227137,"score_spread":0.1888150690861082,"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."}}