{"id":"W4236181427","doi":"10.14322/publons.r3087741","title":"10.14322/publons.r3087741","year":2000,"lang":"en","type":"dataset","venue":"Time to knit","topic":"Information Technology and Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","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":[0.001484417,0.002922886,0.00150945,0.003765197,0.0007674558,0.003072244,0.003471095,0.002136892,0.3930997],"category_scores_gemma":[0.005192471,0.0011215,0.00111801,0.006706912,0.0007283096,0.001541068,0.002768505,0.001367924,0.6626877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001311943,"about_ca_system_score_gemma":0.001712306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01137794,"about_ca_topic_score_gemma":0.01708256,"domain_scores_codex":[0.9988136,0.0001790227,0.0001317159,0.0003999697,0.0002482958,0.0002274966],"domain_scores_gemma":[0.9980507,0.0003679802,0.0001715907,0.0007153424,0.0003964464,0.0002979637],"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":[0.00008113869,0.00003143873,0.0004543804,0.0004041129,0.00001861696,0.00001325428,0.00001603245,0.0002589106,0.0001403342,0.0003222708,0.9926098,0.005649792],"study_design_scores_gemma":[0.000334318,0.00005032479,0.002438456,0.0002187767,0.00002531868,0.00004958211,0.00005699648,0.0007832604,0.000791836,0.0009624993,0.9942536,0.00003506793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002078339,0.00007099043,0.0002264145,0.00006864937,0.00005290378,0.0000249014,0.9948195,0.002101704,0.002427097],"genre_scores_gemma":[0.0004967881,0.00005678963,0.0003138769,0.0000538741,0.00001284793,0.00008211521,0.9948668,0.0002992334,0.003817566],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6069003,"threshold_uncertainty_score":0.8656697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006268496165310734,"score_gpt":0.2288578440212636,"score_spread":0.2225893478559529,"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."}}