{"id":"W2669406525","doi":"","title":"Constructing Collaborative Online Communities for Visualizing Spimes.","year":2010,"lang":"en","type":"article","venue":"Web Intelligence/IAT Workshops","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Variety (cybernetics); Software deployment; Computer science; World Wide Web; Knowledge management; Appeal; Visualization; Data science; Internet privacy; Software engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006452942,0.0002175005,0.0003678659,0.00002681222,0.0005029559,0.0001741744,0.0003791198,0.0001783875,0.001341323],"category_scores_gemma":[0.0007386027,0.00009383477,0.0001575436,0.0006528449,0.0002745454,0.0001095055,0.00008080507,0.0004463606,0.00001480748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001914443,"about_ca_system_score_gemma":0.00002093963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001257449,"about_ca_topic_score_gemma":0.007290246,"domain_scores_codex":[0.9985238,0.0001806601,0.0004509374,0.0002730842,0.0001867673,0.0003847734],"domain_scores_gemma":[0.9956715,0.0035718,0.0001640648,0.0001122838,0.0003387273,0.0001416831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006057282,0.0001356332,0.004621339,0.00001117531,0.00006404046,0.000003090404,0.0003766172,0.00002517782,0.03946145,0.09626669,0.0003465588,0.8586277],"study_design_scores_gemma":[0.000639914,0.001577673,0.01825788,0.000437959,0.0005085295,0.00008490666,0.4388976,0.1256702,0.1043913,0.0875803,0.2184136,0.003540253],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863195,0.0001806514,0.007920885,0.001416763,0.0007308575,0.0003975736,0.0006831171,0.0001282457,0.002222435],"genre_scores_gemma":[0.9484729,0.00006135841,0.05013142,0.0003332813,0.0005062102,0.00002774209,0.0002314398,0.000002572014,0.0002330397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8550874,"threshold_uncertainty_score":0.9995716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06354106137116673,"score_gpt":0.3483002725605597,"score_spread":0.284759211189393,"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."}}