{"id":"W4393672018","doi":"10.5281/zenodo.5148519","title":"Support to rural, remote and northern counsellors: The unique features inherent to video-conferencing technology","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Service-Learning and Community Engagement","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Videoconferencing; Teleconference; Computer science; Remote sensing; Multimedia; Geography","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":[0.001456549,0.0008829083,0.0008770741,0.003086952,0.0009103002,0.001473779,0.002312412,0.001264518,0.03682202],"category_scores_gemma":[0.01145331,0.0003545524,0.0008667437,0.006270105,0.0004375777,0.0008421969,0.002055254,0.001336905,0.02376458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001952071,"about_ca_system_score_gemma":0.003402875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0815724,"about_ca_topic_score_gemma":0.1505415,"domain_scores_codex":[0.99841,0.0004109768,0.000269815,0.000283827,0.0003355539,0.0002898833],"domain_scores_gemma":[0.9949679,0.001691093,0.0006121742,0.0007122067,0.001602425,0.0004142549],"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":[0.0003979214,0.00009516573,0.01134491,0.003111569,0.00007196323,0.00006895891,0.0005377551,0.0005098718,0.0002627177,0.001404252,0.9677786,0.01441632],"study_design_scores_gemma":[0.000411236,0.00006036399,0.07534049,0.001739646,0.0000764513,0.000105669,0.002138775,0.000582298,0.0005832833,0.00169139,0.9172076,0.00006281694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001940904,0.00009319974,0.0001600991,0.00007571509,0.00001755727,0.00009969356,0.9961755,0.00005197261,0.001385264],"genre_scores_gemma":[0.005488022,0.0001066531,0.0006407926,0.00006926569,0.0000066101,0.0008284707,0.9904355,0.00004638209,0.002378278],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0815724,"threshold_uncertainty_score":0.1621952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03568282328172079,"score_gpt":0.2919680901957684,"score_spread":0.2562852669140476,"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."}}