{"id":"W6939843759","doi":"10.6084/m9.figshare.7775525.v1","title":"Additional file 2: of Barriers and recruitment strategies for precarious status migrants in Montreal, Canada","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Relevance (law); Table (database); Immigration; Key (lock); Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001143506,0.0009399797,0.0008634251,0.004021355,0.002532901,0.001760112,0.002233927,0.0006478958,0.6381294],"category_scores_gemma":[0.01513282,0.0004600392,0.0009013966,0.007383177,0.000342216,0.001186828,0.001009225,0.0007391252,0.04149633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009476693,"about_ca_system_score_gemma":0.01986474,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9037343,"about_ca_topic_score_gemma":0.9417728,"domain_scores_codex":[0.9994288,0.00005817497,0.00005591197,0.0001038518,0.0001540755,0.0001991783],"domain_scores_gemma":[0.99086,0.003886629,0.0004145471,0.0003949748,0.003951311,0.0004924878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008416866,0.000027268,0.0127696,0.0009488591,0.00003165256,0.00004874236,0.0004076377,0.000423373,0.00005262531,0.0004960525,0.9748302,0.009879686],"study_design_scores_gemma":[0.001191637,0.00008597521,0.3184168,0.004911659,0.0002468468,0.0002550976,0.01015032,0.003263514,0.0006705127,0.002840498,0.6576666,0.0003007167],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0009010497,0.00002208239,0.0001112796,0.0000879931,0.00001518794,0.000072619,0.9969671,0.00009961677,0.001723082],"genre_scores_gemma":[0.04376701,0.0003197082,0.005194023,0.0002843253,0.00003580871,0.002017368,0.9205797,0.0004382062,0.02736374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6381294,"threshold_uncertainty_score":0.5161644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02356715364295686,"score_gpt":0.2111701971530354,"score_spread":0.1876030435100786,"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."}}