{"id":"W6913208201","doi":"10.5683/sp3/tfrzyd","title":"Gess 2006 Maillardville corpus Guided Interview","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Interview; Corpus linguistics; Narrative; Subject (documents); Discourse analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003200365,0.002379783,0.001295434,0.0043705,0.002587615,0.002577895,0.003240953,0.001991132,0.0701793],"category_scores_gemma":[0.008651949,0.0008702746,0.0005923169,0.006198918,0.0008864407,0.0009899787,0.002845034,0.002125388,0.08346148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004058447,"about_ca_system_score_gemma":0.008944103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2348098,"about_ca_topic_score_gemma":0.4535262,"domain_scores_codex":[0.9973839,0.000769708,0.0002308545,0.0006298082,0.0006340364,0.0003515607],"domain_scores_gemma":[0.9939438,0.001653421,0.0002967928,0.001367886,0.002220288,0.0005178496],"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":[0.00006508516,0.00001903555,0.0002686872,0.0002920146,0.000006771351,0.00004052688,0.0002091221,0.0001003335,0.0001973585,0.000470815,0.9952785,0.003051679],"study_design_scores_gemma":[0.0001173903,0.00001216827,0.006187433,0.0002710765,0.00001692404,0.00007196691,0.0005466429,0.0002490147,0.0005754984,0.0005809989,0.991339,0.00003196757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006416808,0.00008364538,0.000310522,0.00008171732,0.00003857632,0.00007158965,0.994842,0.0003723033,0.003558085],"genre_scores_gemma":[0.0008490257,0.00002934315,0.0007164619,0.00003992526,0.000005560103,0.0003744914,0.9944856,0.0001245758,0.003375061],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2348098,"threshold_uncertainty_score":0.4668861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04441981076324682,"score_gpt":0.3008543027743633,"score_spread":0.2564344920111165,"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."}}