{"id":"W4250507643","doi":"10.14322/publons.r2686114","title":"10.14322/publons.r2686114","year":2000,"lang":"en","type":"dataset","venue":"Time to knit","topic":"Material Properties and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Construction engineering; Engineering","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":[],"category_scores_codex":[0.0009346131,0.004074716,0.001686617,0.003987613,0.0007747285,0.002809583,0.003708176,0.002929211,0.2554716],"category_scores_gemma":[0.003910691,0.001189834,0.001373608,0.006656787,0.0006397408,0.001751784,0.002585671,0.001410921,0.5329645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475035,"about_ca_system_score_gemma":0.001582748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01432818,"about_ca_topic_score_gemma":0.02289751,"domain_scores_codex":[0.9990819,0.00012263,0.0000877263,0.0003248027,0.0002202364,0.0001626634],"domain_scores_gemma":[0.9985641,0.000261879,0.0001393355,0.0005359794,0.0002898957,0.000208824],"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":[0.00007778402,0.00003055402,0.0003741045,0.0005949811,0.00002371806,0.00001709554,0.00001733804,0.0004607037,0.0002298023,0.000363481,0.9922096,0.005600802],"study_design_scores_gemma":[0.0002097755,0.00003901701,0.001608755,0.0001730482,0.00002538532,0.00004597174,0.00004166999,0.001085551,0.0008017939,0.001220223,0.9947167,0.0000321176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001754835,0.0001358379,0.0002155686,0.00006697598,0.000043097,0.00001504957,0.9943427,0.003019953,0.001985298],"genre_scores_gemma":[0.0004198551,0.00008378796,0.00037508,0.00005201833,0.000009591622,0.00004431231,0.9966813,0.0003008066,0.002033226],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7445284,"threshold_uncertainty_score":0.8546376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009013093500053,"score_gpt":0.1988690799409405,"score_spread":0.1887789490059399,"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."}}