{"id":"W6894261106","doi":"10.5683/sp2/befjcu","title":"Jobber's House -- Fish Creek Park -- Laser Scanning -- 2019","year":2019,"lang":"en","type":"dataset","venue":"Borealis","topic":"Myasthenia Gravis and Thymoma","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Fish <Actinopterygii>; Laser scanning; Fish pond; Scanner; Laser","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":[0.00067373,0.002100906,0.001227692,0.001907386,0.000822373,0.001373473,0.0023353,0.001645079,0.02150781],"category_scores_gemma":[0.001783435,0.000492574,0.0009889996,0.003229399,0.0005846563,0.0006722942,0.001535941,0.00109333,0.05621638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001217706,"about_ca_system_score_gemma":0.00189271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04228673,"about_ca_topic_score_gemma":0.1070924,"domain_scores_codex":[0.999265,0.0000795103,0.00005134178,0.0002582106,0.0002087381,0.0001372588],"domain_scores_gemma":[0.9992658,0.00009917994,0.00006991904,0.0002019248,0.0002650015,0.00009802447],"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":[0.0002123633,0.00006527904,0.004938105,0.0006127071,0.00004697951,0.0001432071,0.00007440207,0.0007007204,0.0008793127,0.0003390434,0.9810347,0.01095324],"study_design_scores_gemma":[0.0001598513,0.0000573309,0.02873615,0.0002856582,0.00004666235,0.0003725649,0.0003197643,0.001457267,0.002091101,0.0007672064,0.9656402,0.00006614081],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001893011,0.0002098393,0.0002889589,0.00008391933,0.00005527624,0.00002532631,0.9949621,0.0008871226,0.001594467],"genre_scores_gemma":[0.001518463,0.00006111657,0.0004545185,0.00002388936,0.000007551523,0.00004518392,0.9969139,0.00005377013,0.0009214868],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04228673,"threshold_uncertainty_score":0.08408117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02054980967141528,"score_gpt":0.2759334754390433,"score_spread":0.255383665767628,"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."}}