{"id":"W1529599496","doi":"10.21432/t2z30q","title":"Collaboration indices for monitoring potential problems in online small groups / Indicateurs de collaboration pour diagnostiquer des problèmes potentiels dans de petits groupes en ligne","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Learning and Technology","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Qualitative analysis; Qualitative property; Psychology; Reliability (semiconductor); Quantitative assessment; Qualitative research; Quantitative analysis (chemistry); Statistics; Mathematics; Sociology; Chemistry; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01220675,0.0005317514,0.000450898,0.00517487,0.001237415,0.001634764,0.0009261699,0.0008383763,0.002511571],"category_scores_gemma":[0.04812879,0.0002258055,0.0005074266,0.002412093,0.0007753123,0.002379389,0.002169692,0.0008557942,0.0004555121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007691783,"about_ca_system_score_gemma":0.001142612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009556708,"about_ca_topic_score_gemma":0.002268226,"domain_scores_codex":[0.9889542,0.005960824,0.001239801,0.0006335338,0.002910385,0.0003013415],"domain_scores_gemma":[0.9397585,0.03767562,0.0100465,0.002211347,0.008250826,0.002057204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007299913,0.0008680418,0.7364409,0.0007122794,0.0001952557,0.0001770936,0.0119357,0.002012559,0.006831045,0.00267419,0.001811819,0.2356112],"study_design_scores_gemma":[0.0001204625,0.00173143,0.9283504,0.0004083565,0.0002222359,0.0008781811,0.02572546,0.02106229,0.009406282,0.006217522,0.005695771,0.0001815735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622169,0.0004743463,0.02692635,0.0003772427,0.0000856888,0.0005389777,0.0003088051,0.0001489711,0.008922662],"genre_scores_gemma":[0.9668975,0.0001444766,0.03102133,0.00003320149,0.00002601575,0.0007833896,0.0001722687,0.00001356901,0.000908245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01220675,"threshold_uncertainty_score":0.06455624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381874378041931,"score_gpt":0.3050826838586473,"score_spread":0.291263940078228,"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."}}