{"id":"W7138125908","doi":"10.1145/3756884.3795822","title":"10.1145/3756884.3795822","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Innovations in Educational Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Social relation; Conversation analysis; Human interaction; Interpersonal interaction","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":[0.002146411,0.002705632,0.00199337,0.002782,0.002386899,0.004792665,0.002749307,0.005291808,0.9472046],"category_scores_gemma":[0.004910758,0.001649064,0.001258562,0.007993887,0.001479232,0.01086825,0.006258237,0.002265319,0.9641862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002319183,"about_ca_system_score_gemma":0.001205794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02011155,"about_ca_topic_score_gemma":0.01749507,"domain_scores_codex":[0.9992719,0.00006576913,0.0000700102,0.0001968611,0.0002607262,0.0001346304],"domain_scores_gemma":[0.9978029,0.0005783641,0.00009697366,0.0006851676,0.0004787042,0.0003577883],"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":[0.000201309,0.0001283348,0.0004896745,0.0005460234,0.0000331382,0.0001454679,0.00009669464,0.0005172861,0.0007432212,0.006453001,0.6820625,0.3085834],"study_design_scores_gemma":[0.00002837107,0.00001903175,0.0007111261,0.0002514347,0.0000317179,0.0000970289,0.00007768474,0.0005423828,0.0003203752,0.001754802,0.9961421,0.00002406464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001605712,0.004760426,0.01234404,0.001865885,0.002202617,0.0003630689,0.01600492,0.01329485,0.9475585],"genre_scores_gemma":[0.00342505,0.002141607,0.002236779,0.0006600801,0.0001539736,0.0001728259,0.007110377,0.001972124,0.9821271],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05279535,"threshold_uncertainty_score":0.07530618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02126752424315628,"score_gpt":0.3310166738576399,"score_spread":0.3097491496144836,"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."}}