{"id":"W6950768114","doi":"10.5683/sp2/djxuim","title":"Perrenoud Homestead -- Cochrane -- Laser Scanning -- Metadata -- July 18 2017","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Metadata; Data set; Set (abstract data type); Data element; Laser scanning","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":[0.001266871,0.002384162,0.001211435,0.002035228,0.001086961,0.001900883,0.002393143,0.001886183,0.01996165],"category_scores_gemma":[0.004819991,0.0005355756,0.00116384,0.002816756,0.000773578,0.001534371,0.002186143,0.001411909,0.05712875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001541164,"about_ca_system_score_gemma":0.001871373,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05706255,"about_ca_topic_score_gemma":0.1547042,"domain_scores_codex":[0.9984294,0.0002394385,0.000112131,0.0004195122,0.0005649785,0.0002344901],"domain_scores_gemma":[0.9976891,0.0003553594,0.0001625806,0.0007670227,0.0008151272,0.000210711],"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":[0.0001380475,0.00003990262,0.002063888,0.0002782308,0.00002506839,0.0000378214,0.00004981895,0.0004241174,0.0002691036,0.0003430241,0.9905917,0.005739179],"study_design_scores_gemma":[0.0001338467,0.00005841492,0.01443771,0.0002356233,0.00003218155,0.0001897255,0.0003014058,0.001627454,0.001610829,0.001520073,0.9797673,0.00008544076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001700057,0.0003287776,0.0004912669,0.000206591,0.0001750379,0.00003967481,0.9896429,0.003755161,0.003660486],"genre_scores_gemma":[0.001932485,0.00007046181,0.0007981347,0.00006725931,0.00001917962,0.00004793558,0.9954295,0.000192292,0.001442728],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9429374,"threshold_uncertainty_score":0.1134608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04896313453505722,"score_gpt":0.3301367762890789,"score_spread":0.2811736417540217,"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."}}